Machine learning for in silico virtual screening and chemical genomics: new strategies
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Designing focused chemical libraries enriched in protein-protein interaction inhibitors using machine-learning methodsComputational models for in-vitro anti-tubercular activity of molecules based on high-throughput chemical biology screening datasets.Data-mining of potential antitubercular activities from molecular ingredients of traditional Chinese medicinesPredictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets.Predicting the outcomes of organic reactions via machine learning: are current descriptors sufficient?Cheminformatics Based Machine Learning Models for AMA1-RON2 Abrogators for Inhibiting Plasmodium falciparum Erythrocyte Invasion.Support vector machines for drug discovery.Synthetic molecules: helping to unravel plant signal transduction.Machine Learning Approaches Toward Building Predictive Models for Small Molecule Modulators of miRNA and Its Utility in Virtual Screening of Molecular Databases.
P2860
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P2860
Machine learning for in silico virtual screening and chemical genomics: new strategies
description
2008 nî lūn-bûn
@nan
2008 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Machine learning for in silico virtual screening and chemical genomics: new strategies
@ast
Machine learning for in silico virtual screening and chemical genomics: new strategies
@en
Machine learning for in silico virtual screening and chemical genomics: new strategies
@nl
type
label
Machine learning for in silico virtual screening and chemical genomics: new strategies
@ast
Machine learning for in silico virtual screening and chemical genomics: new strategies
@en
Machine learning for in silico virtual screening and chemical genomics: new strategies
@nl
prefLabel
Machine learning for in silico virtual screening and chemical genomics: new strategies
@ast
Machine learning for in silico virtual screening and chemical genomics: new strategies
@en
Machine learning for in silico virtual screening and chemical genomics: new strategies
@nl
P2860
P1476
Machine learning for in silico virtual screening and chemical genomics: new strategies
@en
P2093
Laurent Jacob
P2860
P304
P356
10.2174/138620708785739899
P407
P577
2008-09-01T00:00:00Z