Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
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The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinitiesContributions of the RAD51 N-terminal domain to BRCA2-RAD51 interaction.Fragment-based drug discovery using a multidomain, parallel MD-MM/PBSA screening protocol.Structure-based virtual screening for drug discovery: principles, applications and recent advances.Adding energy minimization strategy to peptide-design algorithm enables better search for RNA-binding peptides: Redesigned λ N peptide binds boxB RNA.Simulation study of the ability of a computationally-designed peptide to recognize target tRNALys3 and other decoy tRNAs.A component analysis of the free energies of folding of 35 proteins: A consensus view on the thermodynamics of folding at the molecular level.Probe the Binding Mode of Aristololactam-β-D-glucoside to Phenylalanine Transfer RNAin Silico
P2860
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P2860
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
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2011 nî lūn-bûn
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2011年の論文
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2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
@ast
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
@en
type
label
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
@ast
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
@en
prefLabel
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
@ast
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
@en
P2093
P2860
P356
P1476
Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.
@en
P2093
Cristiano R W Guimarães
Julian Tirado-Rives
Krishna Ravindranathan
P2860
P304
P356
10.1021/CT200565U
P577
2011-11-14T00:00:00Z