Predicting ADME properties and side effects: the BioPrint approach.
about
Predicting new molecular targets for known drugsIn silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulatorsA systematic prediction of multiple drug-target interactions from chemical, genomic, and pharmacological dataCharacterizing the network of drugs and their affected metabolic subpathwaysTarget essentiality and centrality characterize drug side effectsOpen Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery DatasetsComputational tools and resources for metabolism-related property predictions. 1. Overview of publicly available (free and commercial) databases and softwareA side effect resource to capture phenotypic effects of drugsSystematic identification of proteins that elicit drug side effectsPolypharmacology in Precision Oncology: Current Applications and Future ProspectsBiological spectra analysis: Linking biological activity profiles to molecular structure.How can we improve our understanding of cardiovascular safety liabilities to develop safer medicines?Chemogenomic approaches to rational drug designTargetHunter: an in silico target identification tool for predicting therapeutic potential of small organic molecules based on chemogenomic database.In vitro assessment of a computer-designed potential anticancer agent in cervical cancer cells.PharmaTrek: A Semantic Web Explorer for Open Innovation in Multitarget Drug DiscoveryOn the relationship between block of the cardiac Na⁺ channel and drug-induced prolongation of the QRS complex.Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models.Physicochemical characteristics of structurally determined metabolite-protein and drug-protein binding events with respect to binding specificity.Cross-pharmacology analysis of G protein-coupled receptorsDetermination of minimal transcriptional signatures of compounds for target prediction.
P2860
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P2860
Predicting ADME properties and side effects: the BioPrint approach.
description
2003 nî lūn-bûn
@nan
2003 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հուլիսին հրատարակված գիտական հոդված
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2003年の論文
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2003年学术文章
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2003年学术文章
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2003年学术文章
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2003年学术文章
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2003年学术文章
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2003年學術文章
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name
Predicting ADME properties and side effects: the BioPrint approach.
@ast
Predicting ADME properties and side effects: the BioPrint approach.
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type
label
Predicting ADME properties and side effects: the BioPrint approach.
@ast
Predicting ADME properties and side effects: the BioPrint approach.
@en
prefLabel
Predicting ADME properties and side effects: the BioPrint approach.
@ast
Predicting ADME properties and side effects: the BioPrint approach.
@en
P2093
P1476
Predicting ADME properties and side effects: the BioPrint approach
@en
P2093
Boryeu Mao
Cecile M Krejsa
Dragos Horvath
Frédérique Barbosa
Jacques C Migeon
Julie E Penzotti
Sherri L Rogalski
P304
P577
2003-07-01T00:00:00Z