ChEMBL. An interview with John Overington, team leader, chemogenomics at the European Bioinformatics Institute Outstation of the European Molecular Biology Laboratory (EMBL-EBI). Interview by Wendy A. Warr

ChEMBL. An interview with John Overington, team leader, chemogenomics at the European Bioinformatics Institute Outstation of the European Molecular Biology Laboratory (EMBL-EBI). Interview by Wendy A. Warr

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http://www.wikidata.org/entity/Q33384498

Q33384498

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Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on Identification of attractive drug targets in neglected-disease pathogens using an in silico approach Whole-genome sequence of Schistosoma haematobium ASD: a comprehensive database of allosteric proteins and modulators SCRIPDB: a portal for easy access to syntheses, chemicals and reactions in patents Crystal structure-based virtual screening for fragment-like ligands of the human histamine H(1) receptor Chemical structure identification in metabolomics: computational modeling of experimental features The Chemical Information Ontology: provenance and disambiguation for chemical data on the biological semantic web The ChEMBL database as linked open data Emerging practices for mapping and linking life sciences data using RDF — A case series Large-scale ligand-based predictive modelling using support vector machines PubChem as a public resource for drug discovery Reactome: a database of reactions, pathways and biological processes ChEMBL: a large-scale bioactivity database for drug discovery Understanding and classifying metabolite space and metabolite-likeness Using multiple microenvironments to find similar ligand-binding sites: application to kinase inhibitor binding Global analysis of small molecule binding to related protein targets A two-step target binding and selectivity support vector machines approach for virtual screening of dopamine receptor subtype-selective ligands Identification of common biological pathways and drug targets across multiple respiratory viruses based on human host gene expression analysis Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile Integrated text mining and chemoinformatics analysis associates diet to health benefit at molecular level Reactome pathway analysis to enrich biological discovery in proteomics data sets How Far Could We Go with Open Data - A Case Study for TRPV1 Antagonists Software and resources for computational medicinal chemistry Computational prediction of metabolism: sites, products, SAR, P450 enzyme dynamics, and mechanisms Drug discovery and the use of computational approaches for infectious diseases.ANAP: an integrated knowledge base for Arabidopsis protein interaction network analysis.IUPHAR-DB: an open-access, expert-curated resource for receptor and ion channel research Exploring chemical space for drug discovery using the chemical universe database.Comparative analyses of lipoprotein lipase, hepatic lipase, and endothelial lipase, and their binding properties with known inhibitors.Visualisation of the chemical space of fragments, lead-like and drug-like molecules in PubChem.Pharmacophore-based discovery of FXR agonists. Part I: Model development and experimental validation.Computational chemical biology: identification of small molecular probes that discriminate between members of target protein families.Self-organizing ontology of biochemically relevant small molecules.In silico approach to screen compounds active against parasitic nematodes of major socio-economic importance.The chemical basis of pharmacology.High selectivity of the γ-aminobutyric acid transporter 2 (GAT-2, SLC6A13) revealed by structure-based approach.Identification of novel α7 nicotinic receptor ligands by in silico screening against the crystal structure of a chimeric α7 receptor ligand binding domain BioSM: metabolomics tool for identifying endogenous mammalian biochemical structures in chemical structure space Development of a highly selective allosteric antagonist radioligand for the type 1 cholecystokinin receptor and elucidation of its molecular basis of binding

P2860

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P2860

ChEMBL. An interview with John Overington, team leader, chemogenomics at the European Bioinformatics Institute Outstation of the European Molecular Biology Laboratory (EMBL-EBI). Interview by Wendy A. Warr

Item

http://www.wikidata.org/entity/Q33384498

description

2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի ապրիլին հրատարակված գիտական հոդված

@hy

article

@en

articolo scientifico del 2009 pubblicato su Journal of Computer - Aided Molecular Design

@it

artículu científicu espublizáu en 2009

@ast

wetenschappelijk artikel (gepubliceerd in 2009-04)

@nl

наукова стаття, опублікована у квітні 2009

@uk

مقالة علمية نشرت في أبريل 2009

@ar

ലേഖനം

@ml