Metabolomics Databases
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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. -
Technology Development for Single-Molecule Protein Sequencing
National Advisory Council for Human Genome Research May 18-19, 2020 Concept Clearance for RFA Technology Development for Single-Molecule Protein Sequencing Purpose: The purpose of this initiative is to accelerate innovation, development and early dissemination of single-molecule protein sequencing (SMPS) technologies. The ultimate goal is to achieve technological advances to the level where protein sequencing data can be generated at sufficient scale, speed, cost and accuracy to use routinely in studies of genome biology and function, and in biomedical research in general. This would enable analyses, such as deeper understanding of molecular phenotypes, identification of low abundance and ‘missing’ proteins, and true single-cell proteomics. This concept represents an ambitious and high-risk technology development challenge, and if successful, would provide a focused opportunity to transform the use of proteomics, in much the same way as modern next- generation nucleic acid sequencing (NGS) transformed genomics due to its high-throughput, low cost, and generalizability. Background: Through the Human Genome Project, and other efforts, NHGRI transformed biology by making genomics mainstream, with genomics now being a fundamental part of many studies of the biology of disease. Proteomics has not had the same widespread adoption, partially because of a lack of proteomics technologies that approach the scale of NGS, including improvements to the sensitivity and dynamic range of protein detection. The human proteome is extremely complex. A typical human cell expresses >10,000 unique protein gene products; and can contain ~100 times as many modified proteins, or proteoforms, for each gene product. In addition, the dynamic range of the proteome approaches seven orders of magnitude (from one copy per cell to ten million copies per cell) in tissues and cell lines, and up to ten orders of magnitude in blood plasma. -
Computational Proteomics: High-Throughput Analysis for Systems Biology
Pacific Symposium on Biocomputing 12:403-408(2007) COMPUTATIONAL PROTEOMICS: HIGH-THROUGHPUT ANALYSIS FOR SYSTEMS BIOLOGY WILLIAM CANNON Computational Biology & Bioinformatics, Pacific Northwest National Laboratory Richland, WA 99352 USA BOBBIE-JO WEBB-ROBERTSON Computational Biology & Bioinformatics, Pacific Northwest National Laboratory Richland, WA 99352, USA High-throughput proteomics is a rapidly developing field that offers the global profiling of proteins from a biological system. These high-throughput technological advances are fueling a revolution in biology, enabling analyses at the scale of entire systems (e.g., whole cells, tumors, or environmental communities). However, simply identifying the proteins in a cell is insufficient for understanding the underlying complexity and operating mechanisms of the overall system. Systems level investigations generating large-scale global data are relying more and more on computational analyses, especially in the field of proteomics. 1. Introduction Proteomics is a rapidly advancing field offering a new perspective to biological systems. As proteins are the action molecules of life, discovering their function, expression levels and interactions are essential to understanding biology from a systems level. The experimental approaches to performing these tasks in a high- throughput (HTP) manner vary from evaluating small fragments of peptides using tandem mass spectrometry (MS/MS), to two-hybrid and affinity-based pull-down assays using intact proteins to identify interactions. No matter the approach, proteomics is revolutionizing the way we study biological systems, and will ultimately lead to advancements in identification and treatment of disease as well as provide a more fundamental understanding of biological systems. The challenges however are amazingly diverse, ranging from understanding statistical models of error in the experimental processes through categorization of tissue types. -
The Structure and Antioxidant Properties
materials Review Recent Developments in Effective Antioxidants: The Structure and Antioxidant Properties Monika Parcheta 1 , Renata Swisłocka´ 1,* , Sylwia Orzechowska 2,3 , Monika Akimowicz 4 , Renata Choi ´nska 4 and Włodzimierz Lewandowski 1 1 Department of Chemistry, Biology and Biotechnology, Bialystok University of Technology, Wiejska 45E, 15-351 Bialystok, Poland; [email protected] (M.P.); [email protected] (W.L.) 2 Solaris National Synchrotron Radiation Centre, Jagiellonian University, Czerwone Maki 98, 30-392 Krakow, Poland; [email protected] 3 M. Smoluchowski Institute of Physics, Jagiellonian University, Łojasiewicza 11, 30-348 Kraków, Poland 4 Prof. Waclaw Dabrowski Institute of Agriculture and Food Biotechnology–State Research Institute, Rakowiecka 36, 02-532 Warsaw, Poland; [email protected] (M.A.); [email protected] (R.C.) * Correspondence: [email protected] Abstract: Since the last few years, the growing interest in the use of natural and synthetic antioxidants as functional food ingredients and dietary supplements, is observed. The imbalance between the number of antioxidants and free radicals is the cause of oxidative damages of proteins, lipids, and DNA. The aim of the study was the review of recent developments in antioxidants. One of the crucial issues in food technology, medicine, and biotechnology is the excess free radicals reduction to obtain healthy food. The major problem is receiving more effective antioxidants. The study aimed to analyze the properties of efficient antioxidants and a better understanding of the molecular ´ Citation: Parcheta, M.; Swisłocka, R.; mechanism of antioxidant processes. Our researches and sparing literature data prove that the Orzechowska, S.; Akimowicz, M.; ligand antioxidant properties complexed by selected metals may significantly affect the free radical Choi´nska,R.; Lewandowski, W. -
Molecular Biologist's Guide to Proteomics
Molecular Biologist's Guide to Proteomics Paul R. Graves and Timothy A. J. Haystead Microbiol. Mol. Biol. Rev. 2002, 66(1):39. DOI: 10.1128/MMBR.66.1.39-63.2002. Downloaded from Updated information and services can be found at: http://mmbr.asm.org/content/66/1/39 These include: REFERENCES This article cites 172 articles, 34 of which can be accessed free http://mmbr.asm.org/ at: http://mmbr.asm.org/content/66/1/39#ref-list-1 CONTENT ALERTS Receive: RSS Feeds, eTOCs, free email alerts (when new articles cite this article), more» on November 20, 2014 by UNIV OF KENTUCKY Information about commercial reprint orders: http://journals.asm.org/site/misc/reprints.xhtml To subscribe to to another ASM Journal go to: http://journals.asm.org/site/subscriptions/ MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS, Mar. 2002, p. 39–63 Vol. 66, No. 1 1092-2172/02/$04.00ϩ0 DOI: 10.1128/MMBR.66.1.39–63.2002 Copyright © 2002, American Society for Microbiology. All Rights Reserved. Molecular Biologist’s Guide to Proteomics Paul R. Graves1 and Timothy A. J. Haystead1,2* Department of Pharmacology and Cancer Biology, Duke University,1 and Serenex Inc.,2 Durham, North Carolina 27710 INTRODUCTION .........................................................................................................................................................40 Definitions..................................................................................................................................................................40 Downloaded from Proteomics Origins ...................................................................................................................................................40 -
Clinical Proteomics
Clinical Proteomics Michael A. Gillette Broad Institute of MIT and Harvard Massachusetts General Hospital “Clinical proteomics” encompasses a spectrum of activity from pre-clinical discovery to applied diagnostics • Proteomics applied to clinically relevant materials – “Quantitative and qualitative profiling of proteins and peptides that are present in clinical specimens like human tissues and body fluids” • Proteomics addressing a clinical question or need – Discovery, analytical and preclinical validation of novel diagnostic or therapy related markers • MS-based and/or proteomics-derived test in the clinical laboratory and informing clinical decision making – Clinical implementation of tests developed above – Emphasis on fluid proteomics – Includes the selection, validation and assessment of standard operating procedures (SOPs) in order that adequate and robust methods are integrated into the workflow of clinical laboratories – Dominated by the language of clinical chemists: Linearity, precision, bias, repeatability, reproducibility, stability, etc. Ref: Apweiler et al. Clin Chem Lab Med 2009 MS workflow allows precise relative quantification of global proteome and phosphoproteome across large numbers of samples Tissue, cell lines, biological fluids 11,000 – 12,000 distinct proteins/sample 25,000 - 30,000 phosphosites/sample Longitudinal QC analyses of PDX breast cancer sample demonstrate stability and reproducibility of complex analytic workflow Deep proteomic and phosphoproteomic annotation for 105 genomically characterized TCGA breast -
Proteomics & Bioinformatics Part II
Proteomics & Bioinformatics Part II David Wishart University of Alberta 3 Kinds of Proteomics • Structural Proteomics – High throughput X-ray Crystallography/Modelling – High throughput NMR Spectroscopy/Modelling • Expressional or Analytical Proteomics – Electrophoresis, Protein Chips, DNA Chips, 2D-HPLC – Mass Spectrometry, Microsequencing • Functional or Interaction Proteomics – HT Functional Assays, Ligand Chips – Yeast 2-hybrid, Deletion Analysis, Motif Analysis Historically... • Most of the past 100 years of biochemistry has focused on the analysis of small molecules (i.e. metabolism and metabolic pathways) • These studies have revealed much about the processes and pathways for about 400 metabolites which can be summarized with this... More Recently... • Molecular biologists and biochemists have focused on the analysis of larger molecules (proteins and genes) which are much more complex and much more numerous • These studies have primarily focused on identifying and cataloging these molecules (Human Genome Project) Nature’s Parts Warehouse Living cells The protein universe The Protein Parts List However... • This cataloging (which consumes most of bioinformatics) has been derogatively referred to as “stamp collecting” • Having a collection of parts and names doesn’t tell you how to put something together or how things connect -- this is biology Remember: Proteins Interact Proteins Assemble For the Past 10 Years... • Scientists have increasingly focused on “signal transduction” and transient protein interactions • New techniques have been developed which reveal which proteins and which parts of proteins are important for interaction • The hope is to get something like this.. Protein Interaction Tools and Techniques - Experimental Methods 3D Structure Determination • X-ray crystallography – grow crystal – collect diffract. data – calculate e- density – trace chain • NMR spectroscopy – label protein – collect NMR spectra – assign spectra & NOEs – calculate structure using distance geom. -
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. -
S41598-018-25035-1.Pdf
www.nature.com/scientificreports OPEN An Innovative Approach for The Integration of Proteomics and Metabolomics Data In Severe Received: 23 October 2017 Accepted: 9 April 2018 Septic Shock Patients Stratifed for Published: xx xx xxxx Mortality Alice Cambiaghi1, Ramón Díaz2, Julia Bauzá Martinez2, Antonia Odena2, Laura Brunelli3, Pietro Caironi4,5, Serge Masson3, Giuseppe Baselli1, Giuseppe Ristagno 3, Luciano Gattinoni6, Eliandre de Oliveira2, Roberta Pastorelli3 & Manuela Ferrario 1 In this work, we examined plasma metabolome, proteome and clinical features in patients with severe septic shock enrolled in the multicenter ALBIOS study. The objective was to identify changes in the levels of metabolites involved in septic shock progression and to integrate this information with the variation occurring in proteins and clinical data. Mass spectrometry-based targeted metabolomics and untargeted proteomics allowed us to quantify absolute metabolites concentration and relative proteins abundance. We computed the ratio D7/D1 to take into account their variation from day 1 (D1) to day 7 (D7) after shock diagnosis. Patients were divided into two groups according to 28-day mortality. Three diferent elastic net logistic regression models were built: one on metabolites only, one on metabolites and proteins and one to integrate metabolomics and proteomics data with clinical parameters. Linear discriminant analysis and Partial least squares Discriminant Analysis were also implemented. All the obtained models correctly classifed the observations in the testing set. By looking at the variable importance (VIP) and the selected features, the integration of metabolomics with proteomics data showed the importance of circulating lipids and coagulation cascade in septic shock progression, thus capturing a further layer of biological information complementary to metabolomics information. -
A Metabolomics Approach to Pharmacotherapy Personalization
Journal of Personalized Medicine Review A Metabolomics Approach to Pharmacotherapy Personalization Elena E. Balashova *, Dmitry L. Maslov and Petr G. Lokhov Institute of Biomedical Chemistry, Pogodinskaya St. 10, Moscow 119121, Russia; [email protected] (D.L.M.); [email protected] (P.G.L.) * Correspondence: [email protected] Received: 29 June 2018; Accepted: 3 September 2018; Published: 5 September 2018 Abstract: The optimization of drug therapy according to the personal characteristics of patients is a perspective direction in modern medicine. One of the possible ways to achieve such personalization is through the application of “omics” technologies, including current, promising metabolomics methods. This review demonstrates that the analysis of pre-dose metabolite biofluid profiles allows clinicians to predict the effectiveness of a selected drug treatment for a given individual. In the review, it is also shown that the monitoring of post-dose metabolite profiles could allow clinicians to evaluate drug efficiency, the reaction of the host to the treatment, and the outcome of the therapy. A comparative description of pharmacotherapy personalization (pharmacogenomics, pharmacoproteomics, and therapeutic drug monitoring) and personalization based on the analysis of metabolite profiles for biofluids (pharmacometabolomics) is also provided. Keywords: pharmacometabolomics; metabolomics; pharmacogenomics; therapeutic drug monitoring; personalized medicine; mass spectrometry 1. Introduction The uniformity of the drug response or low inter-individual differences in drug response are commonly accepted tenets in the field of medicine. Almost all drugs are prescribed on the basis of this statement. This approach can be described as treatment of the “average patient” by “the average pill” or “one size fits all”. However, clinicians have long observed that the actual effectiveness of the pharmacotherapy may be variable. -
Smart Drugs: a Review
International Journal for Innovation Education and Research www.ijier.net Vol:-8 No-11, 2020 Smart Drugs: A Review Sahjesh Soni, Dr Rashmi Srivastava, Ayush Bhandari Mumbai Educational Trust, India Abstracts Smart drugs can change the way our mind functions. Smart drugs are also known as nootropics, which literally means the ability to bend or shape our mind. Smart drugs are classified into two main categories. They are classified based on their pharmacological action and their availability. The stimulant category of drugs is highly used and misused. There has been a rampant increase in the sale of smart drugs, which could be attributed to the rise in competition all over the world. Two major criteria for selecting a good drug are its mechanism of action and bioavailability. Owing to the short-term benefits of smart drugs, many countries have openly accepted this concept. There is still no concrete scientific evidence backing the safety and efficacy of these drugs. Some believe that this is just a fad that will soon pass, while others believe that this is something that will revolutionize our future. Key Words: Smart drugs, Nootropics, Cognitive enhancers, Stimulants, Uses and Side effects. What are Smart Drugs? "Smart drugs" are a group of compounds that can promote brain performance. They have got a lot of attention due to our stressful lifestyle, and these drugs help to boost our memory, focus, creativity, intelligence, and motivation. The origin of the word comes from the Greek language meaning “to bend or shape the mind”.1 These chemicals have many mechanisms of action.