A side effect resource to capture phenotypic effects of drugs
about
Applications of the InChI in cheminformatics with the CDK and BioclipseTowards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examplesData-driven prediction of drug effects and interactionsLinked open drug data for pharmaceutical research and developmentChemProt: a disease chemical biology databaseBiomarker-based drug safety assessment in the age of systems pharmacology: from foundational to regulatory scienceMethods for biological data integration: perspectives and challengesSystematic analysis of the associations between adverse drug reactions and pathwaysNetwork-based approaches in drug discovery and early developmentTranslational bioinformatics: linking the molecular world to the clinical worldA survey on the computational approaches to identify drug targets in the postgenomic eraStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewComputational toxicology using the OpenTox application programming interface and BioclipseCheminformaticsSTITCH 4: integration of protein-chemical interactions with user dataPREDICT: a method for inferring novel drug indications with application to personalized medicineLigand cluster-based protein network and ePlatton, a multi-target ligand finderIDAAPM: integrated database of ADMET and adverse effects of predictive modeling based on FDA approved drug dataGetting personalized cancer genome analysis into the clinic: the challenges in bioinformaticsNetwork-based relating pharmacological and genomic spaces for drug target identificationA structure-based approach for mapping adverse drug reactions to the perturbation of underlying biological pathwaysTranslating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps)Prediction of drug combinations by integrating molecular and pharmacological dataNetwork neighbors of drug targets contribute to drug side-effect similarityLarge-scale elucidation of drug response pathways in humansRecycling side-effects into clinical markers for drug repositioningCharacterizing the network of drugs and their affected metabolic subpathwaysSystematic prediction of pharmacodynamic drug-drug interactions through protein-protein-interaction networkTarget inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathwaysTarget essentiality and centrality characterize drug side effectsSearching for synergies: matrix algebraic approaches for efficient pair screeningDrug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype dataPredicting drug-target interactions using drug-drug interactionsConstruction of drug network based on side effects and its application for drug repositioningAutomated detection of off-label drug useA systematic investigation of computation models for predicting Adverse Drug Reactions (ADRs)Adverse drug reaction prediction using scores produced by large-scale drug-protein target docking on high-performance computing machinesTowards a Computable Data Corpus of Temporal Correlations between Drug Administration and Lab Value ChangesPredicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction NetworksPharmDB-K: Integrated Bio-Pharmacological Network Database for Traditional Korean Medicine
P2860
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P2860
A side effect resource to capture phenotypic effects of drugs
description
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
artículu científicu espublizáu en 2010
@ast
im Januar 2010 veröffentlichter wissenschaftlicher Artikel
@de
scientific article (publication date: 19 January 2010)
@en
wetenschappelijk artikel (gepubliceerd op 2010/01/19)
@nl
наукова стаття, опублікована в січні 2010
@uk
مقالة علمية (نشرت في 19-1-2010)
@ar
name
A side effect resource to capture phenotypic effects of drugs
@ast
A side effect resource to capture phenotypic effects of drugs
@en
type
label
A side effect resource to capture phenotypic effects of drugs
@ast
A side effect resource to capture phenotypic effects of drugs
@en
prefLabel
A side effect resource to capture phenotypic effects of drugs
@ast
A side effect resource to capture phenotypic effects of drugs
@en
P2860
P50
P3181
P356
P1476
A side effect resource to capture phenotypic effects of drugs
@en
P2093
Michael Kuhn
P2860
P3181
P356
10.1038/MSB.2009.98
P577
2010-01-19T00:00:00Z