Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
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Quantitative evaluation of protein-DNA interactions using an optimized knowledge-based potentialComputational methods in drug discoveryCombinatorial computational method gives new picomolar ligands for a known enzymeProtein structure evaluation using an all-atom energy based empirical scoring function.Computational methods for de novo protein design and its applications to the human immunodeficiency virus 1, purine nucleoside phosphorylase, ubiquitin specific protease 7, and histone demethylases.Reference state for the generalized Yvon-Born-Green theory: application for coarse-grained model of hydrophobic hydration.
P2860
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
2000年论文
@zh
2000年论文
@zh-cn
name
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
@en
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
@nl
type
label
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
@en
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
@nl
prefLabel
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
@en
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
@nl
P2860
P356
P1433
P1476
Analysis of knowledge-based protein-ligand potentials using a self-consistent method.
@en
P2093
Ishchenko AV
P2860
P304
P356
10.1110/PS.9.4.765
P577
2000-04-01T00:00:00Z