Rough set-based proteochemometrics modeling of G-protein-coupled receptor-ligand interactions.
about
Proteochemometric modeling of the susceptibility of mutated variants of the HIV-1 virus to reverse transcriptase inhibitorsInsights into an original pocket-ligand pair classification: a promising tool for ligand profile predictionProteochemometric modeling of HIV protease susceptibility.Machine learning methods in chemoinformaticsComputer aided selection of candidate vaccine antigens.The recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope.Proteochemometric modeling as a tool to design selective compounds and for extrapolating to novel targetsKnowledge Discovery in BioinformaticsComputational toxicology: an overview of the sources of data and of modelling methods
P2860
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P2860
Rough set-based proteochemometrics modeling of G-protein-coupled receptor-ligand interactions.
description
2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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name
Rough set-based proteochemomet ...... receptor-ligand interactions.
@en
Rough set-based proteochemomet ...... receptor-ligand interactions.
@nl
type
label
Rough set-based proteochemomet ...... receptor-ligand interactions.
@en
Rough set-based proteochemomet ...... receptor-ligand interactions.
@nl
prefLabel
Rough set-based proteochemomet ...... receptor-ligand interactions.
@en
Rough set-based proteochemomet ...... receptor-ligand interactions.
@nl
P2093
P2860
P356
P1433
P1476
Rough set-based proteochemomet ...... receptor-ligand interactions.
@en
P2093
Helena Strömbergsson
Herman Midelfart
Jan Komorowski
Maris Lapinsh
Peteris Prusis
P2860
P356
10.1002/PROT.20777
P407
P50
P577
2006-04-01T00:00:00Z