International Journal of Trend in Scientific

Research and Development (IJTSRD)

International Open Access Journal ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume - 2 | Issue – 4

The Discovery of Potential Acetyl Cholinesterase Inhibitors: A Combination of Virtual Screening and Molecular Docking Studies Anjali Tripathi1, Harshita Nigam1, Noopur Khare2 1Student,2Assistant Professor Shri Ramswaroop Memorial University, Lucknow, Uttar Pradesh, India

ABSTRACT In present scenario there are different terminologies treatment of this disease. The drugs used in this which are used for categorizing the branches of project may compensate for the death of computer aided drug designing like molecular neurons and offer symptomatic relief by inhibiting modeling, theoretical chemistry, bioinformatics, turnover as it directly interact with computational chemistry, chemo informatics, amyloid β in a manner that increases the deposition of computational biology, etc fundamental scientific this peptide into insoluble plaques. After homology developments in this field has shaped up even before modeling we will get the final structure of our protein. computational sciences emerged as a prominent field The docking will be carried out with the best ligand. in engineering. Alzheimer disease is the most This drug will be helpful in the treatment of widespread origin of mental turn off, or dementia. But Alzheimer’s disease. dementia too has various additional causes. The description of this disease for the first time was given Keywords: computational biology, neuropathologist, by German psychiatrist as well as neuropathologist Alzheimer, Easy Modeller, AutoDock named Alois Alzheimer in year 1906 and so it was named after him.Rapid memory loss is familiar in 1.1 AN INTRODUCTION TO COMPUTER public older than 60. The depositions of amyloid are AIDED DRUG DESIGN known to be as “plaques” and it causes the brain cells One of the fundamental rational drug design method to shrivel up and form “tangles”, which will lead to is Computer aided drug design (CADD). Discovery of changes in the brain structure and causes the brain medicines were very much superdipitous or done by cells to die. Treating medical circumstances which blind experiments in earlier days of pharmaceutical may contribute to perplexity or physical decline eg: researches. With the help of modern research anemia or lung disease, cheering social interface to methods, scientists are now able to identify the actual help put off feelings of seclusion and depression, for causes of the disease. With the help of that credible tumbling misunderstanding normal habitual must be knowledge, research can be done for its cure optimistic. (AChE) plays an (Kapetanovic and I M, 2008). significant function in Alzheimer's disease (AD).The extreme action of acetylcholinesterase causes a 1.1.1 Branches of computer aided drug design variety of neuronal troubles predominantly dementia In present scenario there are different terminologies as well as neuronal cell deaths.The tools and which are used for categorizing the branches of methodology which are used in this project are computer aided drug designing like molecular FASTA ,BLAST, Phyre2, Easy Modeller, AutoDock modeling, theoretical chemistry, bioinformatics, and ADMET. The main tools used are AutoDock for computational chemistry, chemo informatics, the docking of specific protein and ligands whereas computational biology, etc fundamental scientific ADMET is used for the toxicity check.The conclusion developments in this field has shaped up even before for this project is that β amyloid and abnormal tau computational sciences emerged as a prominent field protein is responsible for this disease and acetyl in engineering. Comparison with several other cholinesterase is a key inhibitor which is used for the

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1753 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 branches of science, the enhancement in computer difficulty in thinking clearly and also in making good technology has been revolutionized the look decisions (Khan et al., 2012). (Kapetanovic and I M, 2008). 1.1.5. Types of Drug Designing 1.1.2. History of Computer Aided drug design Basically there are four different methodologies Although computer aided drug designing (CADD) which are commonly used in the drug designing. itself doesn’t have any history, its foundations of discipline was laid more than a 100s of years back • Ligand based drug design( indirect drug (Khan et al., 2012). The experiment to apply design) mathematics in explaining and calculating chemical It relies on knowledge of molecules that binds property has provided momentum for the earliest with the biological target of interest, which may developments in computational chemistry. This be used for deriving a pharmacophore model branch, which can be refer to as theoretical chemistry, which will be helpful in defining the minimum in CADD it is served as the foundations for progress. necessary structural characteristics which a Once it was confirmed that svarious chemical molecule must consists in order to bind to the phenomena can be explained by using several target. mathematical equations, scientists digged further into the mysteries of the chemical world using • Structure based drug design( direct drug mathematics as the tool. Later, theories of quantum design) mechanics, molecular orbital’s and electron provided It usually depends on knowledge of the three a solid understanding of chemistry of the molecules dimensional structure of a biological target which (Khan et al., 2012). can be obtained through various methods such as X-ray crystallography and NMR spectroscopy. By 1.1.3. Medicines as legal drugs using structure of a biological target molecule, It is often seen that for any particular problem there is candidate drugs can be predicted which will bind a medicine for it. Medicines are legal drugs, doctors with high affinity and selectivity to the target. are allowed to prescribe these legal drugs for patients. Interactive graphics and intuition of a medicinal Stores can sell them, and people are allowed to buy chemist can be further used in this drug design those drugs. But it is neither legal nor safe, for people process. to use these medicines in any manner they want or to • Rational drug design buy them from people who are selling them illegally (Kapetanovic and I M, 2008). It starts with a hypothesis which explains that modulation of a specific target molecule may have 1.1.4. Illegal Drugs therapeutic values as compared to traditional design which depends on trial and error. There are some drugs which are sold in market which are illegal for example, LSD, marijuana, cocaine, • Computer assisted drug design ecstasy, crystal meth, and heroin. Illegal drugs are not It basically uses computational chemistry for good for any person, but these drugs are particularly discovering, enhancing, or to study drugs and bad for teens as well as for kids also whose body is related biological active target molecules. The still growing. These drugs can damage the brain, heart most fundamental goal of this concept is to predict and several other important body organs (Kapetanovic the binding affinity of a given molecule to the and I M, 2008). The drug which can cause a heart target molecule and its associated binding attack in a teen or a kid is cocaine. With the use of kinetics. these illegal drugs, people’s performance starts decreasing in sports, schools and other activities. Not only this, but also using these drugs often creates

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1754 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Fig 1.1: Drug Design Process (Rathinasabapathy, T et al., 2011)

1.1.6 Introduction of Alzheimer’s disease • Increasing age, Down syndrome, history of head injury, obesity, high blood pressure, high Alzheimer disease is the most widespread origin of cholesterol, insulin resistance, family history of mental turn off, or dementia. But dementia too has Alzheimer’s disease, risk factors for blood vessel various additional causes. Alzheimer’s disease disease such as smoking (Rosen et al., 1989). damages the brain. It causes a sturdy loss of memory and how well it can verbalize, imagine, and do your 1.1.6.2. Symptoms of Alzheimer’s disease on a daily basis work. It gets inferior over time, but how hastily this happens varies (Mehta et al., 2012). • Have trouble making decisions • Be confused about what day and time it is 1.1.6.1. Causes of Alzheimer’s disease: Alzheimer’s • Get lost in places you know well diseases occur due to changes occurring in the brain. • Have more trouble doing daily tasks like cooking Some of the deterioration may be related to loss of a meal or paying bills chemical messengers in the brain, called • Increasing short term memory loss neurotransmitters that allow nerve cells in the brain to • Loss of appetite communicate properly (Hardy et al.,2002)The body • Troubles with conceptual judgment attempt to stop this process by producing a protein known as amyloid. However, amyloid deposits • Extreme alteration in individuality assemble in the brain, which leads to further • Incomprehension to moment and position deterioration (Mejta et al.,2012). These depositions of Even though a person loses its many abilities amyloid are known to be as “plaques” and it causes when disease progresses, it is frequently helpful to the brain cells to shrivel up and form “tangles”, which edge on the abilities that continues, such as the will lead to changes in the brain structure and causes sanity of touch, the ability to respond to emotion the brain cells to die. There are several factors which and audible range. may play an important role in the development of the 1.1.7. Diagnosis of Alzheimer’s disease condition. (Rosen et al., 1989) For the diagnosis of Alzheimer’s disease there is no • Genetic factors, such as the presence of, or single test. For the other possible causes there is a full changes to, certain genes assessment of medical and psychological history. For • Environmental factors, such as long term obtaining a conclusive diagnosis it requires a variety exposure to some environmental solvents or of tests which are: infection with certain viruses or bacteria • Lifestyle factors, such as lack of exercise, poor • Brain scans quality sleep and a diet lacking fruit and • Mental status assessment for determining the vegetables level of mental deterioration

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1755 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 • Physical and neurological examination 1.1.9. Treatment and • Caregiver interview for determining the level of dependency Treating medical circumstances which may contribute to perplexity or physical decline e.g., anemia or lung • Blood and urine tests disease, cheering social interface to help put off

feelings of seclusion and depression, for tumbling For checking brain structure and its function scans misunderstanding normal habitual must be optimistic may be recommended. Different types of scans which (Hardy et al., 2002). may include:- • CT scanning( computerized tomography) Medications such as sleeping tablets and • MRI (magnetic resonance imaging) tranquillizers may help to control to control symptoms • PET( positron emission tomography) such as sleeplessness and agitation. A cluster of medications known as cholinesterase inhibitors have revealed some efficacy in slowing the succession of the stipulation in some people. More recently, another drug named memantine is available in New Zealand (Mehta et al.,2012, Rosen et al., 1989). 1.1.10 Drugs widely used for Alzheimer’s disease

• Aricept is the merely cure which is permitted through the FDA for all stages of Alzheimer’s disease: gentle, sensible, as well as brutal. This drug can be taken as a pill which gulp down or dissolves in our mouth.

• Razadyne (previously known Reminyl) is as well for Mechanism of action of Acetylcholinesterase inhibitor gentle to modest Alzheimer’s. It can obtain it as a capsule which works accurately, a tablet that gives Fig 1.2: Mechanism of action of off the tablets gradually, and in liquid forms. Acetylcholinesterase inhibitor • Exelon is for public who contain gentle to reasonable 1.1.8. Epidemiology Alzheimer’s. We can spot a skin scrap which has the drug, or get it in capsules as well as in liquid form. Rates after age 65

Age New affected per thousand • Memantine (Namenda) treats modest to brutal person- years Alzheimer's ailment. It works by means of altering 65-69 3 the quantity of an intellect chemical known 70-74 6 glutamate, which act as a task in erudition as well as recall. Brain cells in public through Alzheimer’s 75-79 9 disease provide inedible too much glutamate. 80-84 23 Namenda keeps stages of that chemical in test. It 85-89 40 might perk up how well the brain performsas well as 90-above 69 how finely several people can do daily errands. The Table 1: Epidemiology rates after age 65 remedy may effort even superior when we obtain it through Aricept, Razadyne or Exelon. Namenda’s There are two main measures which are used in side effects comprise of fatigue, faintness, epidemiological studies. Incidence is the number of puzzlement, constipation, as well as annoyance new cases per unit of person-time at risk (usually (Jackson and G.A., 2014). number of new cases /1000 person- years). Prevalence is the total number of cases of the disease in the • Namzaric . This medicine is a blend of Namenda as population at any given time (Mehta et al., 2012) well as Aricept. It's most excellent for public with

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1756 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 modest to brutal Alzheimer's who by now acquire the cholinergic transmission in Alzheimer’s disease two drugs discretely (Jackson and G.A., 2014). (Tsolaki et al., 2001).

1.2. Review of literature 1.2.1. Approaches in the treatment of Alzheimer disease In the present scenario the most sensitive global issue is the Alzheimer’s disease and the reason behind this There are various pathogenic mechanism used for AD is the rise in social impact and increase in its which includes oxidative stress (antioxidant therapy), economic cost (Wischik et al., 2014).The description amyloid cascade (Aβ) vaccine, loss of cholinergic of this disease for the first time was given by German functions (neutropins and cholinergic replacement psychiatrist as well as neuropathologist named Alois therapy), γ secretase inhibitors, role of dietary factors Alzheimer in year 1906 and so it was named after him (Gupta et al., 2010). (Ahmad and J, 2013, Samant et al) . Dementia which 1.2.2. Alzheimer disease pathophysiology is a problem of memory loss it is related with old age, but in case of Alzheimer’s disease it is problem of The major neuronal death and synaptic loss which is neurodegeneration (Rasool et al.,2015). The primary observed in the brain regions responsible for cognitive event in the Alzheimer’s disease is oxidative stress so fuctions of AD is histopathologically characterized , for this neurodegenerative disorder the most includes the entorhinal cortex, ventral striatum, the promising step could be the therapy which could cerebral cortex and hippocampus (Gupta et al., 2010). based on antioxidant (Nisha et al.,2016). The plant There are two hypothesis which have been proposed which was took for the study of Alzheimer’s disease for pathophysiology and etiology studies of Moringa oleifera. It is estimated over 50-60% cases Alzheimer disease: the first hypothesis refers to the of dementia in person occur over 65 years of age. neurodegeneration of amyloid cascade whereas the Moringa oleifera is inhabitant to sub-tropical areas of second hypothesis refers to the malfunction of the countries like India, Pakistan, Bangladesh and cholinergic system which contains metal- mediated Afghanistan and it is also consumed in the form of toxicity, tau aggregation and inflammation (Singh et food (Samant et al., , Lagunin et al., 2014). The al.,2014, Gupta et al., 2010, Nisha et al., 2016). special class of molecules of AD with its quality and quantity are expected that they can grow at very faster According to the neurodegeneration of amyloid rate in future, but we really need to thanks to rapid cascade hypothesis, Alzheimer disease attars to begin advancement in technologies of biophysics, medicinal with the proteolytic cleavage of the amyloid precursor chemistry, biochemistry and pharmacology (Ahmad protein (APP) and it also results in the production, and J, 2013). There are various databases which have aggregation, and the deposition of amyloid plaques been reported for exploring the molecular mechanism and β-amyloid (Aβ) (Singh et al., 2014, Cummings et of Alzheimer’s disease namely AlzGene and al., 2016). Alzpathway (Rasool et al., 2015). AD described its association with low density lipoprotein receptor Cholinergic hypothesis, the malfunction of the related protein (LRP) in biochemical and genetic cholinergic system which is enough for producing a studies. Due to the unfavorable pharmacokinetics and memory deficit in animal models which is similar to pharmacodynamics of drugs the frequent failure of Alzheimer disease. The activities of therapy occurs (Liu et al., 2012). Acetylcholinesterase acetyltransferase (ChAT) and (AChE) were reduced (AChE) plays an significant function in Alzheimer's in the cerebral cortexes of patients with Alzheimer disease (AD).The extreme action of disease (Cummings et al., 2016). acetylcholinesterase causes a variety of neuronal The enzyme which works for the conversion of troubles predominantly dementia as well as neuronal phosphatidylcholine to choline and synthesis of cell deaths. Normally, anti-AChE drugs tempt various chemical mediators of inflammation is Phospholipase solemn neuronal side effects in humans. A2 (PA2). Consequently, this study required to recognize substitute drug molecules as of natural goods by 1.2.3. Role of AChE in AD revenue of smaller side effects than those of predictable drugs for curing AD (Subramaniyan et al., AChE plays a very important role in cholinergic 2017). A variety of approaches comprised to augment transmission at the both peripheral nervous system as well as central nervous system (Gupta et al., 2010).

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1757 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Various inhibitors of AChE can work through formation from APP is BACE1 (Gupta et al.,2010). cholinergic pathway. Inhibitors of AChE can target Other transmembraneaspartic protease which is any step which consists of glycosylation, trafficking homologous to BACE1 is BACE2. BACE1 has been and phosphorylation (Gupta et al., 2010, Shineman et reported as the key enzyme as it initiates the al., 2011 ). formation of Aβ, and it also exhibits the functional characteristics of β-secretase (Cummings et al., 1.2.4. Achetylcholinesterase Enzyme 2016).. In the knockout mice it has been observed that complete disruption of BACE1 may result in some AChE contains two types of polypeptide chains and physiological as well as behavioral changes (Nisha et each are present twice with molecular weight of 32 al., 2016). Earlier results of familial Alzheimer kDa. It has very high catalytic activity and its every disease occurs because of mutation in the following compound degrades about 5000 compounds of ACh three genes (APP, PSEN1, PSEN2), which results in per second (Gupta et al., 2010). Inhibition of AChE the formation of Aβ, mainly composed of 42 amino was measured to be pragmatic as a counteractive acids (Ahmad and J, 2013).The mechanism of BACE objective because of recognized inhibition of mRNA recognition can be inhibited utilizing antisense secondary AChE as a heal for myasthenia gravis action of small inhibitory nucleic acids (siNAs). This (MG) proving that the advance was achievable strategy can includesmall interfering RNAs (siRNAs), (Mehta et al.,2012). catalytic nucleic acids andantisense oligonucleotides 1.2.5. Neuroinflammation:The main causes of (Shineman et al., 2011). neuroinflammation in AD which is very well known 1.2.7.1. γ-secretase are both NFT and Aβ fibrils. Inflammatory gene expression are activated inneurons in and around The γ-secretase enzyme may be a potentially senile Aβ plaques and in microglia that are mainly attractive drug target because it has an important role regulated by Mitogen-activated protein kinase in the production of Aβ fragments by creating (MAPK) cascades (p38 module) (Singh et al., 2014). peptides of various lengths, namely Aβ40 and Aβ42 (Singh et al., 2014). It comprises of a molecular 1.2.6. Small molecules as inhibitors complex which has four integral membrane proteins Small molecules which efficiently and specifically namely:nicastrin, presenilin (PSEN), PEN-2 and inhibit Aβ aggregation, it can be used as therapeutic APH-1 (Singh et al., 2014, Ahmad and J, 2013).It has agents for Alzheimer,s disease (Shineman et al.,2011). been observed that NSAID analogues preferentially Berberineand its analogues, Congo red as well as β- inhibit Aβ formation and it does not affect the Notch sheet breaker peptide are well-known inhibitors of Aβ processing and other developments; so these NSAID aggregation (Singh et al.,2014, Gupta et al.,2010). analogues may be serve as a lead for optimizing the The change in absorbance spectrum of the dye upon biological activity or starting point for future drug binding to Aβ fibrilshas been proven by Binding of development against AD (Singh et al.,2014). CR to Aβ fibrils. The potential therapeutic agent 1.2.7.2. Aβ and Aβ fibrils which has been suggested against Alzheimer’s disease is CR, as it can bind to critical intermediate structural Alzheimer’s disease is discriminated by immense forms of Aβ. The inhibitor which has shown to be extracellular collection of Aβ plaques which is useful in the treatment of AD is Dipeptide-derived preferably composed of Aβ peptide aggregates, as inhibitors of BACE1 enzyme (Singh et al., 2014). well as intracellular accumulation of hyperphosphorylated tau protein in the cerebellar 1.2.7. Β-site APP cleaving enzyme (BACE) region.α- and β-secretase are bthe two competing Aβ results from APP via proteolytic cleavage by two enzymes which are used to cleave APP, these are enzymes: BACE and γ-secretase. The large type specific in their site of cleavageand siteof proteolysis. 1transmembrane protein which is acting as a α-cleavage is catalysed by several enzymes followed precursor for amyloid formation is APP (Gupta et al., by γ-secretase in normal individuals and in case of 2010).Because of the important role of BACE1 in Aβ Alzheimers disease it causes cleavage of APP so that formation, BACE1 appears as a primary target which it can generate small non-amyloidogenic fragments, helps in preventing Aβ formation in brain. The new however, the BACE1pathway involves sequential aspartic protease which helps in initiating Aβ cleavages of APP by the BACE1 and γ-secretase

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1758 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 complexes and generates Aβ (Singh et al., 2014, distribution, , excretion, and toxicity Gupta et al., 2010). Secretion of Aβ from the cell into (ADMET) are profiled should be considered as part of the extracellular space there it undergoes aggregation. the prospective study design (Fonseca-Santos et al., The major source of Aβ production in the central 2015). nervous system (CNS) is neurons. For the formation of Aβ fibrils these Aβ peptides have the capability to 1.2.10. Repurposed drugs self-aggregate. The C-terminal residues of Aβ are Drugs that have been approved for other indication highly hydrophobic and clump together due to are repurposed agents but they may havesome hydrophobic-hydrophobic interactions (Shineman et pharmacological effects which are relevant to the al., 2011, Lagunin et al., 2014). For the stability to the treatment of Alzheimer’s disease (Cummings et al., structure of Aβ fibrilsthis hydrophobic contact is 2016). In AD repurposed agents have some possible providedare the major source of Aβ production. effects included, but they are not limited to, anti- Deposition of these Aβ fibrils in the brain causes hypertensives, statins, cancer treatment agents, and inflammation, apoptosis and problems in impulse anticonvulsants (Shineman et al., 2011). For the AD conduction resulting in memory loss and recognition drug development timeline repurposed agents have problems.Aβ is used as a potential disease-modifying, the potential of accelerating. They have already been therapeutic target for Alzheimer disease, and drugs through preclinical toxicology assessments; directed against Aβ were found to speed up the elimination of Aβ from the brain (Lagunin et al.,2014) • Phase 1 human safety, tolerability and . The advanced monoclonal antibody which is directly pharmacokinetic assessments; targeting Aβ is Bapineuzumab, as it appears capable • Phase 2 safety and efficacy studies for the of reducing the cerebral Aβ peptide burden in AD original indication; patients; however, after phase II trialsits ability to • Phase 3 studies for the original indication, and slow disease progression remains uncertain and regulatory review for the original indication. potentially severe adverse effects may limit its applicability (Singh et al.,2014, Samant et al.,). Development of a repurposed agent for use in the AD field could begin with a Phase 2 proof-of-concept and 1.2.8. Aβ immunotherapy dosing study for AD, thus avoiding the time and An Aβ vaccine with the name AN1792 consists of expense of preclinical development and Phase 1 synthetic aggregated Aβ1-42 peptide and the (Cummings et al., 2016 , Langunin et al., 2014). surfaceactive saponin adjuvant, QS-21. It was found 1.2.11. Diagnosis and treatment of AD thatthe extent of Aβ removal is strongly correlated with mean anti-Aβ antibody titers as Aβ antibodies AD is a clinical diagnosis; however, the diagnosis of reduce the Aβ load. The vaccines which activate T Alzheimer’s disease is depend on the helper cells (TH1) are Aβ vaccines as it promote depressiondiagnosis, which occurs in approximately humoral immunity and suppress autoimmune 30%–50% of patients with AD (Lu et al., 2012). encephalitis T-cell epitopes which have been reported Motivational disturbancesare more often features in on the C-terminal of the peptide (15-42 amino acids). patients committed with ADis depression, such It is believed that the C-terminus of the peptide is aspsychomotor slowing, fatigue, and apathy, whereas responsible for triggering meningoencephalitis in the depression in geriatric patients without cognitive AN1792 trial. Active vaccination of AN-1792 was impairment tends to feature mood symptoms, such as, developed but it has immunological sideeffects. suicidality, depressed mood, anxiety, and disturbances in sleep and appetite (Singh et al.,2014, Muthusamy et 1.2.9. Pharmacokinetics/Pharmacodynamics, al., 2016). Instruments which are commonly used for ADME-Toxicology assessing depression were designed for use in other Studies should include pharmacokinetics (PK) and patient populations and may be less reliable in pharma co dynamics (PD) assessments to determine patients with AD. whether the compound exposure is sufficient and For the diagnosis of a AD techniques are ancillary whether it is interacting with the target of interest. imaging studies, such as computed tomography (CT) Depending on whether a study is exploratory or or magnetic resonance imaging (MRI) and, in therapeutics, the degree to which absorption, selectedcases, single-photon emission CT (SPECT) or

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1759 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 positron emission tomography (PET). Brain MRI or understanding the various molecular mechanisms CT scanning has indicated the use of structural which affect human health and diseases with the neuroimaging to detect lesions that may result in several goals: to create and maintain public databases, cognitive impairment (Singh et al., 2014, Langunin et build up software to analyze genomic statistics, and to al., 2014). accomplish research in computational ecology. In time, and with broad exploit of Internet, NCBI has For the detection of amyloid peptides (Aβ), turn out to be progressively more conscious with the nanotechnology is used as a diagnostic tool depends function of unadulterated biological research. on which are used as targets in the development of Molecular biology has turn out to be as significant as biological markers for the diagnosis of AD biomedical research. This was evidently seen as a (Muthusamy et al., 2016). variety of expert databases were being formed by NCBI, so that we can balance those categories which Materials and methodologies: Tools used are: dealt openly with human health and disease. NCBI in • NCBI (National Center for Biotechnological progress of compliance services also: Information) They started increasing novel methodologies so that • FASTA (Fast Alignment) they can compact with capacity as well as • BLAST ( Basic Local Alignment Search Tool) complexicity of individuals information that are • PDB (Protein Data Bank) researching with methods which assist in analyzing • Phyre2 the construction as well as purpose of • Easy Modeller macromolecules • ModLoop • Swiss PDB Viewer For storing and analyzing data of molecular biology • Drug Bank they started creating computerized systems. • AutoDock They are providing access for analysis as well as • AutoDock Vina computing tools (which can facilitate the use of 2.1. TOOLS various biological databases and softwares) for researchers and public. 2.1.1. NCBI In the development of databases, NCBI forms The National Centre for Biotechnological Information standard of its databases such as database (NCBI) a multi-disciplinary research group which is nomenclature which can also be use by several other served as a resource for molecular biology non-NCBI databases. GenBank is one of NCBI information. It was first time formed in 1988 as a database, which is a nucleic acid sequence database complement to the activities of the National Institute which consists of sequence information from over of Health (NIH) and the National Library of Medicine 200,000 diverse organisms. It is perhaps one of the (NLM). It is basically located in Bethesda, Maryland, most popular database which is in use, and it USA. NCBI’s creation was intended so that we aid in essentially predates NCBI.

Fig: 2.1 NCBI homepage

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1760 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 2.1.2. FASTA Sequence database similarity search 2.1.3. BASIC LOCAL ALIGNMENT SEARCH TOOL (BLAST) FASTA is a similarity search program for rapid alignment of protein pairs and DNA sequences. BLAST is a local alignment search software tool in Instead of comparing individual residues in the two which two sequences are aligned in order to decide sequences, it searches for similar sequence pattern or whether there is sequence similarity exists between expressions, called k-tuples. These patterns contain k two sequences. These sequences can be either two repeated matches of letters in both sequences. The protein sequences or two nucleotide sequences. From process then attempts to make a local alignment the sequence similarity of protein or nucleotide which is based on these word matches. Because of the sequence, homology can be inferred, although there is capacity of the algorithm to search for matching the discrete difference between the two sequences. sequences in a sequence database with elevated speed, Homology indicates that the sequences studied came FASTA is functional for usual database search of this from a common ancestral sequence. There are type. different statistical models which exist for protein sequences. NCBI offers a diversity of BLAST-based Method which is comparable with FASTA program is tools so that we can analyze different data types. the BLAST program, which works faster than Instead of using BLAST to sustain a conclusion FASTA, and is comparable compassion for protein about homology between two sequences, it is possible sequence or queries, and also DNA searches, and that we can BLAST a nucleotide or protein query programs which use Smith Waterman dynamic sequence against human genome or the mouse programming algorithm for protein and DNA genome to appear for homologous sequences. searches, which are slower but more susceptible when full-length of protein sequences are used as queries.

Fig: 2.2 BLAST homepage 2.1.4. PROTEIN DATA BANK Protein Data Bank files information about proteins, nucleic acids, and difficult assemblies 3 dimensional shapes which help students and researchers for recognizing all aspects of biomedicine and agriculture, from synthesis of protein to health and disease. The RCSB PDB collects the data by developing tools for students and research in field like structural biology, molecular biology, computational biology, and further than.

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1761 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Fig: 2.3 PDB homepage 2.1.5. PHYRE2 a simple interface at a level of detail they determine. This procedure will direct users from submitting a Phyre2 is a tool accessible on the net to calculate and protein sequence to interpreting the secondary as well evaluate protein structure, function and mutations as tertiary structure of their models, their field occurring on it. The center of Phyre2 is to build composition in addition to model superiority. accessible biologists with a simple as well as intuitive boundary to state-of-the-art protein bioinformatics The compilation of obtainable tools is described tools. Phyre2 replaces Phyre, which is the new which is worn for finding the construction of protein description of the server for which we prior published available in a genome, so that we can submit huge a paper in Nature Protocol. In this restructured quantity of sequences at once and for manually protocol, we demonstrate Phyre2, which uses vastly running weekly searches for proteins which are developed remote homology detection methods to complicated to model. The server for Phyre2 is construct 3D models, which predict ligand binding available at http://www.sbg.bio.ic.ac.uk/phyre2. A sites and analyze the effect of amino acid variants distinctive configuration prediction will be returned (e.g., nonsynonymous SNPs (nsSNPs)) for a user’s between 2 hour and 30 min after its submission. protein sequence. Users are guided through results by

Fig: 2.4 Phyre 2 homepage 2.1.6. Easy Modeller alignment between the target amino acid sequence to be modeled and a template protein whose structure MODELLER is a program which is run so that we has been solved.The prospectus also incorporates can produce protein’s tertiary as well as quaternary fractional functionality for ab initio configuration structures (rarer) homology models. Modeller uses a prediction of loop regions of proteins, which are technique which can be stimulated by nuclear frequently vastly variable even amongst homologous magnetic resonance which is referred as contentment proteins and therefore complex to calculate by of spatial restraints, with which a cluster of homology modeling. geometrical criteria are used to generate a probability density function for the location of each atom in MODELLER be formerly written and is at present protein. The method relies on an input sequence maintained by Adrez Sali at the University of

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1762 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 California, San Francisco. Even though it is liberally atomic coordinates of the protein structure in the accessible for intellectual use, graphical user Protein Data Bank format, and the requirement of the interfaces as well as viable versions are circulated by first and finale residues of one or more segments to be Accelrys. A web server named ModWeb virtual modeled, containing no more than 20 residues in total. protein arrangement modeling web server is a server The coordinates of the non- hydrogen atoms in the which is based on MODELLER as well as additional modeled segments is the end product. A user provides tools for modeling a protein configuration the input to the server via simple web interface, and automatically with an alternative to locate down the receives the output by email. The server basically resultant models into Mod Base. Easy Modeller is a depends on the loop modeling practice in generously accessible GUI to MODELLER which is MODELLER which predicts the loop confirmations urbanized by Kuntal Kumar Bhusan at University of by contentment of spatial restrains, devoid of relying Hyderabad, India. on a database of identified protein structures. For a quick retort ModLoop runs on a group of linux PC 2.1.7. MOD LOOP computer. ModLoop is a web server for computerized modeling of loops in protein structure. The contribution is the

Fig: 2.5 ModLoop : Modelling of loops in protein homepage 2.1.8. SWISS PDB VIEWER Functioning with both the programs deeply decreases the quantity of work essential to produce models, Swiss-Pdb Viewer is a purpose which provides a user because it is potential to thread primary sequence of friendly edge allowing to examine numerous proteins protein onto a 3D pattern and obtain an instantaneous at the equal moment. The proteins can be response of how nicely the threaded protein will be superimposed in order to infer structural alignments established by the orientation construction earlier than and estimate their energetic sites or any other submitting a appeal to construct lost loops and treat applicable parts. Amino acid mutations, angles, H- side chain space filler. bonds and space flanked by atoms are uncomplicated to attain gratitude to the perceptive graphic and menu Swiss-Pdb Viewer can also examine electron density edge. maps, and can provide a variety of tools to construct into the density. In addition, a variety of modeling Swiss –Pdb Viewer (aka DEEP VIEW) has been tools are incorporated and residues can be mutated. developed since 1994 by Nicolas Guex. Swiss-Pdb Viewer is tightly linked to SWISS-MODEL, an At last, as a unique additional benefit, POV-RAY automated homology modeling server developed scenes can be constructed from the present within the Swiss Institute of Bioinformatics (SIB) at observation in order to construct dazzling ray-traced the structural bioinformatics group at the Biozentrum quality descriptions. is Basel.

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1763 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Fig: 2.6 SWISS –PDB Viewer 2.1.9. DRUG BANK looking for potential drug leads. The ChemQuery buttons allows user to draw (using MarvinSketch Drug bank is a type of database which is an applet or ChemSketch applet) or write (SMILES exclusive bioinformatics and cheminformatics source strings) a chemical compound and to search that forms a cluster of detailed drug(i.e. DrugBank for chemicals similar or identical to the pharmacological, chemical, and pharmaceuticals) data query compound. The TextQuery key supports a with entire drug target (i.e. structure, sequence, and added complicated text search (fractional word pathway) information . The database consists of 7759 matches, misspelling, case sensitive, etc ) of the text drug entries which contains 1602 FDA- agreed tiny segment of DrugBank . The SeqSearch key allows particle drugs, 161 FDA- established biotech (peptide/ users to carry out BLASTP (protein) sequence protein) drugs,89 nutraceuticals and additional 6000 searches of the 18000 sequences controlled in trial drugs. In addition, 4300 non –redundant protein DrugBank. In cooperation single and multiple (i.e. enzyme/ drug target/ carrier/ transporter) sequences (i.e. whole proteome) BLAST queries are sequences are associated to these drug entries. An supported. The Advanced Search button opens an entire elucidation of all the DrugCard fields and easy-to-use relational query search tool that allows sources is given at this point. The PharmaBrowse key users to select or search over various combinations of allows users to look through drugs clustered by their subfields. The Data Extractor is the most sophisticated suggestion. This is particularly useful for pharmacists search tool for DrugBank. and physicians, but also for pharmaceutical researcher

Fig: 2.7 Drug Bank

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1764 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 2.1.10. AUTODOCK seconds to minutes, which basically depends on the ligand intricacy. AutoDock is a collection of computerized docking tools. It is constructed to forecast how tiny molecules, RESULTS AND DISCUSSION such as drug candidates or substrates, which attach to a receptor of well-known 3D configuration.AutoDock 3.1 FASTA SEQUENCE OF 4 is open and is accessible beneath the GNU General ACETYLCHOLINESTERASE Public License. >AAA68151.1 acetylcholinesterase [Homo sapiens] AutoDock has been extensively used and there are MRPPQCLLHTPSLASPLLLLLLWLLGGGVGAEG several examples of its flourishing function in the REDAELLVTVRGGRLRGIRLKTPGGPVSAFLGIP journal in 2006, it was the most cited docking FAE software. It is very rapid, and provides elevated value PPMGPRRFLPPEPKQPWSGVVDATTFQSVCYQY predictions of ligand confirmations, and high-quality VDTLYPGFEGTEMWNPNRELSEDCLYLNVWTP correlations among predicted inhibition constants and YPRPT investigational ones. AutoDock has also been SPTPVLVWIYGGGFYSGASSLDVYDGRFLVQAE revealed to be functional in visor docking in which RTVLVSMNYRVGAFGFLALPGSREAPGNVGLL the position of binding spot is not recognized. Plus, DQRLA AutoDock is open software and edition 4 is circulated LQWVQENVAAFGGDPTSVTLFGESAGAASVGM beneath the GNU General Public License; it is simple HLLSPPSRGLFHRAVLQSGAPNGPWATVGMGE to acquire too. ARRRAT QLAHLVGCPPGGTGGNDTELVACLRTRPAQVL 2.1.11. AUTODOCK VINA VNHEWHVLPQESVFRFSFVPVVDGDFLSDTPEA LINAG AutoDock Vina is a novel program for finding a new DFHGLQVLVGVVKDEGSYFLVYGAPGFSKDNE drug, molecular docking and virtual screening, SLISRAEFLAGVRVGVPQVSDLAAEAVVLHYTD contribute fractional receptor litheness, multi-core WLHPE potential, increased performance and improved DPARLREALSDVVGDHNVVCPVAQLAGRLAAQ precision and its simplicity to make use of. AutoDock GARVYAYVFEHRASTLSWPLWMGVPHGYEIEF Vina achieves roughly two guidelines of enormous IFGIPL speed compared by means of the molecular docking DPSRNYTAEEKIFAQRLMRYWANFARTGDPNE software. AutoDock 4, while also extensively PRDPKAPQWPPYTAGAQQYVSLDLRPLEVRRG civilizing the precision of the binding manner LRAQAC predictions. On a classic present workspace, Vina AFWNRFLPKLLSATDTLDEAERQWKAEFHRWS should frequently be capable to consistently create the SYMVHWKNQFDHYSKQDRCSDL predicted binding modes and affinities of a ligand in

3.2 BLAST RESULTS 3.2.1Graphic summary

Fig :3.1 Graphic summary

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1765 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 3.2.2Sequence producing significant alignments

Fig: 3.2 significant alignmen 3.2.3.Alignments

Fig: 3.3 Alignments 3.3 PHYRE2 RESULTS

Fig: 3.4 Phyre 2 results 3.4 RAMPAGE RESULTS (Best Model Generated)

Fig: 3.5 Rampage result

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1766 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Fig:3.6 Generated models

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1767 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Fig: 3.7 Evaluation of residues 3.5 DRUG LIST

Donepezil Dimebon Zaleplon Ergoloid Promazine Citalopram Rebaxetine mesylates PBT2 Trazodone Nutr-E-sol Moclobemide Doxepin Sertraline Memantine Carbamazepine Namenda Nilotinil Quetiapine Fluoxetine Venlaflaxine (tegretol) XR Valproate Vit-e Amisulpride Sulpiride Fluvoxamine Lithium carbonate Insulin Risperidone Hydergine Chlorpromazine Trifluoperazine Imipramine Alprazolam CSP-1103 Olanzapine Aqua-E Esitalopram Zuclopenthizol Mirtazipine Buspirone Inteperidine Temazepam Aquasol E Fluphenazine Amitriptyline Nortriptyline Diazepam

Tacrine Zolgidem E600 Haloperidol Dothiepin Paroxetine Lorazepam

Oxazepam Flurozepam Nitrozepam Zopiclone Dopamine Levodopa Agonists Chloral Amantadine Cognetin COMT Bromocriptine Apomorphine Neupro hydrate inhibitor HCL Chlomethiazole Mirapex Ropinirole Benzatropine Trihexy Piracetam Tolteradine Mesylate Phenidyl Oxybutynin Solifenacin Darifenacin N-methyl D- Amoxapine Clomipramine Desipramine aspartate Protriptyline Trimipramine Fesoterodine Flavoxate Trospium Clozapine Loxapine

Perphenazine Thioridazine Distigmine Ambenonium

HI-6 K027 C203 Methoxine

Propinerine Trimedoxime

Table 2: Drug lists

3.6 LIGAND LIBRARY

S.No ID Name Structure

1. CID_5391 Temazepam

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1768 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 Table 3: Ligand library 3.7 DOCKING RESULTS

S.No. Ligand Affinity(kcal/mol) 1. CID_5391 -46.68

Table 4: Docking results Inference: ligand with least binding affinity -46.68. 4.7.1 Properties of best drug On the basis of 3D structure when we search for its synonyms its result was not better than that from the PROPERTIES CID_5391 ligand CID_5391 It also follows Lipinski rule of 5. So Mass 360.742 we concluded, that CID_5391 is best for Alzheimer’s Hydrogen bond Donor 1 disease. (HBDC) Hydrogen bond Acceptor 3 (HBAC) LOGP 2.2

Table 5: Properties of Best Drug 3.8 ADME RESULTS 3.8.1 ADME

Fig: 3.8 ADME result

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1769 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 3.8.2 Target prediction report

Fig: 3.9 Target prediction report CONCLUSION In this project, from review of literature we got the well as recall. As this receptor is in contemplation to information that the abnormal protein clumps causes be united to GABA (γ aminobutyric acid-A) the death of brain cells which is a dangerous form of receptors, this enhances the conclusion of GABA by dementia called Alzheimer’s disease.β amyloid and rising of inhibitory neurotransmitter GABA to the abnormal tau protein is responsible for this disease arrangement that opens chloride channel and acetyl cholinesterase is a key inhibitor which is consequential in a hyperpolarized cell membrane that used for the treatment of this disease. The prevents additional excitation of cell. After homology Temazepam drug used in this task may reimburse for modeling we got the final structure of our protein. The the fatality of cholinergic neurons as well as offer docking was carried out with the best ligand. This suggestive respite by inhibiting acetylcholine revenue drug will be helpful in the treatment of Alzheimer’s as it straightforwardly interrelate by means of amyloid disease. β in a way that increases the deposition of this peptide into insoluble plaques. The working of temazepam is when benzodiazepine combines in a wide range to benzodiazepine receptors, which affects muscle repose, motor organization, anticonvulsant action as

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1770 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 REFERENCES Wang, Weiwei Su, and Xiang-Qun Xie. "AlzPlatform: an Alzheimer’s disease domain- 1. Amat-ur-Rasool, Hafsa, and Mehboob Ahmed. specific chemogenomics knowledgebase for "Designing Second generation anti-alzheimer polypharmacology and target identification compounds as inhibitors of human research." Journal of chemical information and acetylcholinesterase: computational screening of modeling 54, no. 4 (2014): 1050-1060. synthetic molecules and dietary phytochemicals." PloS one10, no. 9 (2015): 10. Lu, Jin-Jian, Wei Pan, Yuan-Jia Hu, and Yi-Tao e0136509. Wang. "Multi-target drugs: the trend of drug research and development." PloS one 7, no. 6 2. Calixto, Giovana, Jessica Bernegossi, Bruno (2012): e40262. Fonseca-Santos, and Marlus Chorilli. "Nanotechnology-based drug delivery systems for 11. MacLeod, Ruth, Ellin-Kristina Hillert, Ryan T. treatment of oral cancer: a review." International Cameron, and George S. Baillie. "The role and journal of nanomedicine 9 (2014): 3719. therapeutic targeting of α-, β-and γ-secretase in Alzheimer's disease." Future science OA 1, no. 3 3. Cummings, Jeffrey, Paul S. Aisen, Bruno DuBois, (2015). Lutz Frölich, Clifford R. Jack, Roy W. Jones, John C. Morris, Joel Raskin, Sherie A. Dowsett, 12. Mahaman, Yacoubou Abdoul Razak, Fang Huang, and Philip Scheltens. "Drug development in Mengjuan Wu, Yuman Wang, Zhen Wei, Jian Alzheimer’s disease: the path to Bao, Maibouge Tanko Mahamane Salissou et al. 2025." Alzheimer's research & therapy 8, no. 1 "Moringa Oleifera Alleviates Homocysteine- (2016): 39. Induced Alzheimer’s Disease-Like Pathology and Cognitive Impairments." Journal of Alzheimer's 4. Gupta, Shikhar, Ashish Pandey, Ankit Tyagi, and DiseasePreprint (2018): 1-20. C. Gopi Mohan. "Computational analysis of Alzheimer’s disease drug targets." Curr Res Inf 13. Mehta, Mona, Abdu Adem, and Marwan Sabbagh. Pharm Sci 11, no. 1 (2010): 1-10. "New acetylcholinesterase inhibitors for Alzheimer's disease." International Journal of 5. Hardy, John, and Dennis J. Selkoe. "The amyloid Alzheimer’s disease 2012 (2012). hypothesis of Alzheimer's disease: progress and problems on the road to 14. Muthusamy, K., S. Prasad, and S. Nagamani. therapeutics." science 297, no. 5580 (2002): 353- "Role of Hydrophobic Patch in LRP6: A 356. Promising Drug Target for Alzheimer's disease." Indian Journal of Pharmaceutical 6. Kapetanovic, I. M. "Computer-aided drug Sciences 78, no. 2 (2016): 240-251. discovery and development (CADDD): in silico- chemico-biological approach." Chemico- 15. Nguyen, Stephanie T. "Family and Nursing Staff biological interactions 171, no. 2 (2008): 165- Assessment of Alzheimer's Disease in Seniors at a 176. Care Facility." PhD diss., 2013. 7. Khan, Hina Naz, Saima Kulsoom, and Hamid 16. Nisha, Chaluveelaveedu Murleedharan, Ashwini Rashid. "Ligand based pharmacophore model Kumar, Prateek Nair, Nityasha Gupta, Chitrangda development for the identification of novel Silakari, Timir Tripathi, and Awanish Kumar. antiepileptic compound." Epilepsy research 98, "Molecular Docking and In Silico ADMET Study no. 1 (2012): 62-71. Reveals Acylguanidine 7a as a Potential Inhibitor of β-Secretase." Advances in bioinformatics 2016 8. Lagunin, Alexey A., Rajesh K. Goel, Dinesh Y. (2016). Gawande, Priynka Pahwa, Tatyana A. Gloriozova, Alexander V. Dmitriev, Sergey M. Ivanov et al. 17. Rosen, Wilma G., Richard C. Mohs, and Kenneth "Chemo-and bioinformatics resources for in silico L. Davis. "A new rating scale for Alzheimer's drug discovery from medicinal plants beyond their disease." The American journal of traditional use: a critical review." Natural product psychiatry (1984). reports 31, no. 11 (2014): 1585-1611. 18. Shineman, Diana W., Guriqbal S. Basi, Jennifer L. 9. Liu, Haibin, Lirong Wang, Mingliang Lv, Bizon, Carol A. Colton, Barry D. Greenberg, Beth Rongrong Pei, Peibo Li, Zhong Pei, Yonggang A. Hollister, John Lincecum et al. "Accelerating

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1771 International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 drug discovery for Alzheimer's disease: best 22. Tsolaki, M., T. Pantazi, and A. Kazis. "Efficacy of practices for preclinical animal acetylcholinesterase inhibitors versus nootropics studies." Alzheimer's research & therapy 3, no. 5 in Alzheimer's disease: a retrospective, (2011): 28. longitudinal study." Journal of international 19. Singh, Dev, Manish Gupta, Rajesh Kesharwani, medical research 29, no. 1 (2001): 28-36. Mamta Sagar, Seema Dwivedi, and Krishna 23. van Leeuwen, Elisabeth M., Eszter Emri, Misra. "Molecular drug targets and therapies for Benedicte MJ Merle, Johanna M. Colijn, Eveline Alzheimer’s disease." Translational Kersten, Audrey Cougnard-Gregoire, Sascha Neuroscience 5, no. 3 (2014): 203-217. Dammeier et al. "A new perspective on lipid 20. Sleegers, Kristel, Jean-Charles Lambert, Lars research in age-related macular Bertram, Marc Cruts, Philippe Amouyel, and degeneration." Progress in retinal and eye Christine Van Broeckhoven. "The pursuit of research (2018). susceptibility genes for Alzheimer's disease: 24. Wischik, Claude M., Charles R. Harrington, and progress and prospects." Trends in Genetics 26, John MD Storey. "Tau-aggregation inhibitor no. 2 (2010): 84-93. therapy for Alzheimer's disease." Biochemical 21. Subramaniyan, Vijayakumar, Manogar Palani, pharmacology 88, no. 4 (2014): 529-539. Prabhu Srinivasan, and Sanjeev Kumar Singh. "Novel ligand-based docking; molecular dynamic simulations; and absorption, distribution, metabolism, and excretion approach to analyzing potential acetylcholinesterase inhibitors for Alzheimer's disease." Journal of Pharmaceutical Analysis (2017).

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 1772