Smart Drugs: a Review
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Therapeutic Potential of Nicotinamide Adenine Dinucleotide (NAD) T ∗ Marta Arenas-Jala,B, , J.M
European Journal of Pharmacology 879 (2020) 173158 Contents lists available at ScienceDirect European Journal of Pharmacology journal homepage: www.elsevier.com/locate/ejphar Therapeutic potential of nicotinamide adenine dinucleotide (NAD) T ∗ Marta Arenas-Jala,b, , J.M. Suñé-Negrea, Encarna García-Montoyaa a Pharmacy and Pharmaceutical Technology Department (Faculty of Pharmacy and Food Sciences), University of Barcelona, Barcelona, Spain b ICN2 – Catalan Institute of Nanoscience and Nanotechnology (Autonomous University of Barcelona), Bellaterra (Barcelona), Spain ARTICLE INFO ABSTRACT Keywords: Nicotinamide adenine nucleotide (NAD) is a small ubiquitous hydrophilic cofactor that participates in several NAD aspects of cellular metabolism. As a coenzyme it has an essential role in the regulation of energetic metabolism, Metabolism but it is also a cosubstrate for enzymes that regulate fundamental biological processes such as transcriptional Therapeutic potential regulation, signaling and DNA repairing among others. The fluctuation and oxidative state of NAD levels reg- Drug discovery ulate the activity of these enzymes, which is translated into marked effects on cellular function. While alterations Supplementation in NAD homeostasis are a common feature of different conditions and age-associated diseases, in general, in- creased NAD levels have been associated with beneficial health effects. Due to its therapeutic potential, the interest in this molecule has been renewed, and the regulation of NAD metabolism has become an attractive target for drug discovery. In fact, different approaches to replenish or increase NAD levels have been tested, including enhancement of biosynthesis and inhibition of NAD breakdown. Despite further research is needed, this review provides an overview and update on NAD metabolism, including the therapeutic potential of its regulation, as well as pharmacokinetics, safety, precautions and formulation challenges of NAD supplementa- tion. -
Metabolic-Hydroxy and Carboxy Functionalization of Alkyl Moieties in Drug Molecules: Prediction of Structure Influence and Pharmacologic Activity
molecules Review Metabolic-Hydroxy and Carboxy Functionalization of Alkyl Moieties in Drug Molecules: Prediction of Structure Influence and Pharmacologic Activity Babiker M. El-Haj 1,* and Samrein B.M. Ahmed 2 1 Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, University of Science and Technology of Fujairah, Fufairah 00971, UAE 2 College of Medicine, Sharjah Institute for Medical Research, University of Sharjah, Sharjah 00971, UAE; [email protected] * Correspondence: [email protected] Received: 6 February 2020; Accepted: 7 April 2020; Published: 22 April 2020 Abstract: Alkyl moieties—open chain or cyclic, linear, or branched—are common in drug molecules. The hydrophobicity of alkyl moieties in drug molecules is modified by metabolic hydroxy functionalization via free-radical intermediates to give primary, secondary, or tertiary alcohols depending on the class of the substrate carbon. The hydroxymethyl groups resulting from the functionalization of methyl groups are mostly oxidized further to carboxyl groups to give carboxy metabolites. As observed from the surveyed cases in this review, hydroxy functionalization leads to loss, attenuation, or retention of pharmacologic activity with respect to the parent drug. On the other hand, carboxy functionalization leads to a loss of activity with the exception of only a few cases in which activity is retained. The exceptions are those groups in which the carboxy functionalization occurs at a position distant from a well-defined primary pharmacophore. Some hydroxy metabolites, which are equiactive with their parent drugs, have been developed into ester prodrugs while carboxy metabolites, which are equiactive to their parent drugs, have been developed into drugs as per se. -
Redox Signaling and Alzheimer's Disease
Chen et al. Biomarker Research (2020) 8:42 https://doi.org/10.1186/s40364-020-00218-z REVIEW Open Access Redox signaling and Alzheimer’s disease: from pathomechanism insights to biomarker discovery and therapy strategy Yuan-Yuan Chen1†, Min-Chang Wang2†, Yan-Ni Wang1, He-He Hu1, Qing-Quan Liu3*, Hai-Jing Liu4* and Ying-Yong Zhao1* Abstract Aging and average life expectancy have been increasing at a rapid rate, while there is an exponential risk to suffer from brain-related frailties and neurodegenerative diseases as the population ages. Alzheimer’s disease (AD) is the most common neurodegenerative disease worldwide with a projected expectation to blossom into the major challenge in elders and the cases are forecasted to increase about 3-fold in the next 40 years. Considering the etiological factors of AD are too complex to be completely understood, there is almost no effective cure to date, suggesting deeper pathomechanism insights are urgently needed. Metabolites are able to reflect the dynamic processes that are in progress or have happened, and metabolomic may therefore provide a more cost-effective and productive route to disease intervention, especially in the arena for pathomechanism exploration and new biomarker identification. In this review, we primarily focused on how redox signaling was involved in AD-related pathologies and the association between redox signaling and altered metabolic pathways. Moreover, we also expatiated the main redox signaling-associated mechanisms and their cross-talk that may be amenable to mechanism-based therapies. Five natural products with promising efficacy on AD inhibition and the benefit of AD intervention on its complications were highlighted as well. -
Drugbank 3.0: a Comprehensive Resource for 'Omics' Research On
Published online 8 November 2010 Nucleic Acids Research, 2011, Vol. 39, Database issue D1035–D1041 doi:10.1093/nar/gkq1126 DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs Craig Knox1, Vivian Law2, Timothy Jewison1, Philip Liu3, Son Ly2, Alex Frolkis1, Allison Pon1, Kelly Banco2, Christine Mak2, Vanessa Neveu1, Yannick Djoumbou3, Roman Eisner1, An Chi Guo1 and David S. Wishart1,2,3,4,* 1Department of Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E8, 2Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB, Canada T6G 2N8, 3Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada T6G 2E8 and 4National Institute for Nanotechnology, 11421 Saskatchewan Drive, Edmonton, AB, Canada T6G 2M9 Received September 15, 2010; Revised October 20, 2010; Accepted October 21, 2010 ABSTRACT drug target, drug description and drug action data. DrugBank (http://www.drugbank.ca) is a richly DrugBank 3.0 represents the result of 2 years annotated database of drug and drug target infor- of manual annotation work aimed at making mation. It contains extensive data on the nomencla- the database much more useful for a wide ture, ontology, chemistry, structure, function, range of ‘omics’ (i.e. pharmacogenomic, action, pharmacology, pharmacokinetics, metabol- pharmacoproteomic, pharmacometabolomic and ism and pharmaceutical properties of both small even pharmacoeconomic) applications. molecule and large molecule (biotech) drugs. It also contains comprehensive information on the INTRODUCTION target diseases, proteins, genes and organisms on which these drugs act. First released in 2006, Historically most of the known information on drugs, DrugBank has become widely used by pharmacists, drug targets and drug action has resided in books, medicinal chemists, pharmaceutical researchers, journals and expensive commercial databases. -
Healthy Aging: Antioxidants, Adaptogens & Cognition
Healthy Aging: Antioxidants, Adaptogens & Cognition Karen Butler Michael Altman, CN, RH (AHG) Kieron Edwards, Ph.D. Senior Editor Herbalist Nutritionist Chief Scientific Officer Informa Markets Anthocyanins International LLC Sibelius Natural Products (SeattleCancerCareAlternatives.com) David Heber, M.D., Ph.D., FACP, FASN Katie Stage, N.D., RH (AHG) Professor Emeritus and Founding Director, Therapeutics Division Director UCLA Center for Associate Professor, Southwest Human Nutrition College of Naturopathic Medicine (SCNM) Booth #5310 Towards healthy aging Kieron Edwards PhD MBA www.sibeliusnaturalproducts.com OCTOBER 2019 1 Talk outline Booth #5310 . The trends and challenges of aging . What occurs during aging? . Theories, effects, and pathways of aging . Supporting healthy aging 2 Aging: The monster at the end of the Booth #5310 book 3 The trends and challenges of aging Booth #5310 4 What is aging? Booth #5310 . Ageing results from the impact of the accumulation of a wide variety of molecular and cellular damage over time. This leads to a gradual decrease in physical and mental capacity, a growing risk of disease, and ultimately, death. But these changes are neither linear nor consistent, and they are only loosely associated with a person’s age in years (WHO) 5 Age-related changes to health Booth #5310 . Physical aging . Sensory loss, body composition changes, osteoarthritis . Cognitive aging . Immune aging . Immunosenecence, inflammation . Cardiovascular health . CVD is still the leading cause of death in older adults . Metabolic health . Cancer . Second leading cause of death in older adults 6 Living longer and better? Booth #5310 . Human lifespan is increasing . Almost 2 years increase per decade . Age is a major risk-factor in many human diseases and conditions . -
Drug Knowledge Bases and Their Applications in Biomedical Informatics Research Yongjun Zhu, Olivier Elemento, Jyotishman Pathak and Fei Wang
Briefings in Bioinformatics, 2018, 1–14 doi: 10.1093/bib/bbx169 Paper Drug knowledge bases and their applications in biomedical informatics research Yongjun Zhu, Olivier Elemento, Jyotishman Pathak and Fei Wang Corresponding author: Fei Wang, Division of Health Informatics, Department of Healthcare Policy and Research at Weill Cornell Medicine at Cornell University, 425 East 61st Street, Suite 301, DV-308, New York, NY 10065, USA. E-mail: [email protected] Abstract Recent advances in biomedical research have generated a large volume of drug-related data. To effectively handle this flood of data, many initiatives have been taken to help researchers make good use of them. As the results of these initiatives, many drug knowledge bases have been constructed. They range from simple ones with specific focuses to comprehensive ones that contain information on almost every aspect of a drug. These curated drug knowledge bases have made significant contributions to the development of efficient and effective health information technologies for better health-care service delivery. Understanding and comparing existing drug knowledge bases and how they are applied in various biomedical studies will help us recognize the state of the art and design better knowledge bases in the future. In addition, researchers can get insights on novel applications of the drug knowledge bases through a review of successful use cases. In this study, we provide a review of existing popular drug knowledge bases and their applications in drug-related studies. We discuss challenges in constructing and using drug knowledge bases as well as future research directions toward a better ecosystem of drug knowledge bases. -
Computational Drug Repurposing Algorithm Targeting TRPA1 Calcium Channel As a Potential Therapeutic Solution for Multiple Sclerosis
Supplementary Materials: Computational Drug Repurposing Algorithm Targeting TRPA1 Calcium Channel as a Potential Therapeutic Solution for Multiple Sclerosis Dragos Paul Mihai, George Mihai Nitulescu *, George Nicolae Daniel Ion, Cosmin Ionut Ciotu, Cornel Chirita, and Simona Negres Table S1. Descriptive statistics for pIC50 and druglikeness-related descriptors for the TRPA1 inhibitors set. Descriptor Range Minimum Maximum Mean ± SD pIC50 (M) 4.48 4.52 9.00 6.57 ± 1.01 ALogP 8.28 −0.71 7.57 4.02 ± 1.34 Molecular weight 482.03 175.10 657.13 389.70 ± 101.73 Polar surface area 193.59 17.82 211.41 82.80 ± 40.83 Rotatable bonds 12 1 13 5.01 ± 2.08 Hydrogen bonds acceptors 8 0 8 2.92 ± 1.46 Hydrogen bonds donors 3 0 3 1.06 ± 0.54 SD – standard deviation. Figure S1. Diagram of similarity/activity cliffs based on flexophores with 80% similarity within TRPA1 inhibitors. Larger dots indicate the presence of an activity cliff. Figure S2. Representative structures for similarity/activity cliffs analysis of TRPA1 inhibitors. Table S2. Highest similarity pairs between TRPA1 inhibitors and screened drugs based on flexophore descriptors data mining procedure. TRPA1 inhibitors Repurposing dataset Entry Similarity (ChEMBL ID) (DrugBank ID) 1 CHEMBL3298238 DB08135 0.9832 2 CHEMBL3220230 DB08561 0.9696 3 CHEMBL3220228 DB08561 0.9614 4 CHEMBL593902 DB07311 0.9553 5 CHEMBL3297780 DB01065 0.9533 6 CHEMBL3220448 DB08561 0.9509 Figure S3. Diagram of similarity/activity cliffs based on flexophores with 80% similarity threshold for merged TRPA1 inhibitors dataset (colored dots) and similar DrugBank entries (grey dots). Table S3. -
Package 'Dbparser'
Package ‘dbparser’ August 26, 2020 Title 'DrugBank' Database XML Parser Version 1.2.0 Description This tool is for parsing the 'DrugBank' XML database <https://www.drugbank.ca/>. The parsed data are then returned in a proper 'R' dataframe with the ability to save them in a given database. License MIT + file LICENSE Encoding UTF-8 LazyData true Imports DBI, dplyr, odbc, progress, purrr, readr, RMariaDB, RSQLite, tibble, tools, XML RoxygenNote 7.1.0 Suggests knitr, rmarkdown, testthat VignetteBuilder knitr URL https://docs.ropensci.org/dbparser/, https://github.com/ropensci/dbparser/ BugReports https://github.com/ropensci/dbparser/issues Depends R (>= 2.10) NeedsCompilation no Author Mohammed Ali [aut, cre], Ali Ezzat [aut], Hao Zhu [rev], Emma Mendelsohn [rev] Maintainer Mohammed Ali <[email protected]> Repository CRAN Date/Publication 2020-08-26 12:10:03 UTC 1 2 R topics documented: R topics documented: articles . .3 attachments . .5 books . .8 cett.............................................. 10 cett_actions_doc . 12 cett_doc . 14 cett_ex_identity_doc . 17 cett_go_doc . 19 cett_poly_doc . 21 cett_poly_pfms_doc . 24 cett_poly_syn_doc . 26 dbparser . 28 drugs . 29 drug_affected_organisms . 31 drug_ahfs_codes . 33 drug_atc_codes . 35 drug_calc_prop . 36 drug_categories . 38 drug_classification . 40 drug_dosages . 42 drug_element . 44 drug_element_options . 46 drug_exp_prop . 47 drug_external_links . 49 drug_ex_identity . 51 drug_food_interactions . 53 drug_general_information . 54 drug_groups . 57 drug_interactions . 58 drug_intern_brand -
Drug Repositioning: New Approaches and Future Prospects for Life-Debilitating Diseases and the COVID-19 Pandemic Outbreak
viruses Review Drug Repositioning: New Approaches and Future Prospects for Life-Debilitating Diseases and the COVID-19 Pandemic Outbreak Zheng Yao Low 1 , Isra Ahmad Farouk 1 and Sunil Kumar Lal 1,2,* 1 School of Science, Monash University, Bandar Sunway, Subang Jaya 47500, Selangor Darul Ehsan, Malaysia; [email protected] (Z.Y.L.); [email protected] (I.A.F.) 2 Tropical Medicine & Biology Platform, Monash University, Subang Jaya 47500, Selangor Darul Ehsan, Malaysia * Correspondence: [email protected] Received: 3 July 2020; Accepted: 21 August 2020; Published: 22 September 2020 Abstract: Traditionally, drug discovery utilises a de novo design approach, which requires high cost and many years of drug development before it reaches the market. Novel drug development does not always account for orphan diseases, which have low demand and hence low-profit margins for drug developers. Recently, drug repositioning has gained recognition as an alternative approach that explores new avenues for pre-existing commercially approved or rejected drugs to treat diseases aside from the intended ones. Drug repositioning results in lower overall developmental expenses and risk assessments, as the efficacy and safety of the original drug have already been well accessed and approved by regulatory authorities. The greatest advantage of drug repositioning is that it breathes new life into the novel, rare, orphan, and resistant diseases, such as Cushing’s syndrome, HIV infection, and pandemic outbreaks such as COVID-19. Repositioning existing drugs such as Hydroxychloroquine, Remdesivir, Ivermectin and Baricitinib shows good potential for COVID-19 treatment. This can crucially aid in resolving outbreaks in urgent times of need. -
Home Browse Drug Browse Pharma Browse Geno Browse Reaction
13/12/13 DrugBank: Asparaginase (DB00023) Home Browse Drug Browse Pharma Browse Geno Browse Reaction Browse Pathway Browse Class Browse Association Browse Search ChemQuery Text Query Interax Interaction Search Sequence Search Data Extractor Downloads About About DrugBank Statistics Other Databases Data Sources News Archive Wishart Research Group Help Citing DrugBank DrugCard Documentation Searching DrugBank Tools Human Metabolome Database T3DB Toxin Database Small Molecule Pathway Database FooDB Food Component Database More Contact Us DrugBank version 4.0 beta is now online for public preview! Take me to the beta site now. Search: Search DrugBank Search Help / Advanced Identification Taxonomy Pharmacology Pharmacoeconomics Properties References Interactions 0 Comments targets (1) Identification Name Asparaginase Accession Number DB00023 (BIOD00011, BTD00011) Type biotech Groups approved Description L-asparagine amidohydrolase from E. coli www.drugbank.ca/drugs/DB00023#identification 1/4 13/12/13 DrugBank: Asparaginase (DB00023) Protein structure Display: 3D Structure Protein chemical C H N O S formula 1377 2208 382 442 17 Protein average 31731.9000 weight >DB00023 sequence QMSLQQELRYIEALSAIVETGQKMLEAGESALDVVTEAVRLLEECPLFNAGIGAVFTRDE THELDACVMDGNTLKAGAVAGVSHLRNPVLAARLVMEQSPHVMMIGEGAENFAFARGMER VSPEIFSTSLRYEQLLAARKEGATVLDHSGAPLDEKQKMGTVGAVALDLDGNLAAATSTG Sequences GMTNKLPGRVGDSPLVGAGCYANNASVAVSCTGTGEVFIRALAAYDIAALMDYGGLSLAE ACERVVMEKLPALGGSGGLIAIDHEGNVALPFNTEGMYRAWGYAGDTPTTGIYREKGDTV ATQ FASTA L-asparagine amidohydrolase Synonyms Putative -
Role of Plant Derived Alkaloids and Their Mechanism in Neurodegenerative Disorders
Int. J. Biol. Sci. 2018, Vol. 14 341 Ivyspring International Publisher International Journal of Biological Sciences 2018; 14(3): 341-357. doi: 10.7150/ijbs.23247 Review Role of Plant Derived Alkaloids and Their Mechanism in Neurodegenerative Disorders Ghulam Hussain1,3, Azhar Rasul4,5, Haseeb Anwar3, Nimra Aziz3, Aroona Razzaq3, Wei Wei1,2, Muhammad Ali4, Jiang Li2, Xiaomeng Li1 1. The Key Laboratory of Molecular Epigenetics of MOE, Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024, China 2. Dental Hospital, Jilin University, Changchun 130021, China 3. Department of Physiology, Faculty of Life Sciences, Government College University, Faisalabad, 38000 Pakistan 4. Department of Zoology, Faculty of Life Sciences, Government College University, Faisalabad, 38000 Pakistan 5. Chemical Biology Research Group, RIKEN Center for Sustainable Resource Science. 2-1 Hirosawa, Wako, Saitama 351-0198 Japan Corresponding authors: Professor Xiaomeng Li, The Key Laboratory of Molecular Epigenetics of Ministry of Education, Institute of Genetics and Cytology, Northeast Normal University, 5268 People's Street, Changchun, Jilin 130024, P.R. China. E-mail: [email protected] Tel: +86 186 86531019; Fax: +86 431 85579335 or Professor Jiang Li, Department of Prosthodontics, Dental Hospital, Jilin University, 1500 Tsinghua Road, Changchun, Jilin 130021, P.R. China. E-mail: [email protected] © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2017.10.09; Accepted: 2017.12.18; Published: 2018.03.09 Abstract Neurodegenerative diseases are conventionally demarcated as disorders with selective loss of neurons. -
Neuroprotective Effect of Cannabidiol, a Non-Psychoactive Component from Cannabis Sativa, on Β-Amyloid-Induced Toxicity in PC12
Journal of Neurochemistry, 2004, 89, 134–141 doi:10.1111/j.1471-4159.2003.02327.x Neuroprotective effect of cannabidiol, a non-psychoactive component from Cannabis sativa,onb-amyloid-induced toxicity in PC12 cells Teresa Iuvone, Giuseppe Esposito, Ramona Esposito, Rita Santamaria, Massimo Di Rosa and Angelo A. Izzo Department of Experimental Pharmacology, University of Naples Federico II, Naples, Italy )7 )4 Abstract Treatment of the cells with cannabidiol (10 )10 M) prior to Alzheimer’s disease is widely held to be associated with oxi- b-amyloid peptide exposure significantly elevated cell survival dative stress due, in part, to the membrane action of b-amyloid while it decreased ROS production, lipid peroxidation, peptide aggregates. Here, we studied the effect of cannabi- caspase 3 levels, DNA fragmentation and intracellular cal- diol, a major non-psychoactive component of the marijuana cium. Our results indicate that cannabidiol exerts a combina- plant (Cannabis sativa)onb-amyloid peptide-induced toxicity tion of neuroprotective, anti-oxidative and anti-apoptotic in cultured rat pheocromocytoma PC12 cells. Following effects against b-amyloid peptide toxicity, and that inhibition exposure of cells to b-amyloid peptide (1 lg/mL), a marked of caspase 3 appearance from its inactive precursor, reduction in cell survival was observed. This effect was pro-caspase 3, by cannabidiol is involved in the signalling associated with increased reactive oxygen species (ROS) pathway for this neuroprotection. production and lipid peroxidation, as well as caspase 3 (a key Keywords: Alzheimer’s disease, apoptosis, b-amyloid, enzyme in the apoptosis cell-signalling cascade) appearance, cannabidiol, cannabinoid, neuroprotection. DNA fragmentation and increased intracellular calcium.