Predicting binding poses and affinities for protein - ligand complexes in the 2015 D3R Grand Challenge using a physical model with a statistical parameter estimation.
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Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization.Protein-ligand docking using FFT based sampling: D3R case study.Docking of small molecules to farnesoid X receptors using AutoDock Vina with the Convex-PL potential: lessons learned from D3R Grand Challenge 2.
P2860
Predicting binding poses and affinities for protein - ligand complexes in the 2015 D3R Grand Challenge using a physical model with a statistical parameter estimation.
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2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年學術文章
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2016年學術文章
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2016年學術文章
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name
Predicting binding poses and a ...... tistical parameter estimation.
@en
Predicting binding poses and a ...... tistical parameter estimation.
@nl
type
label
Predicting binding poses and a ...... tistical parameter estimation.
@en
Predicting binding poses and a ...... tistical parameter estimation.
@nl
prefLabel
Predicting binding poses and a ...... tistical parameter estimation.
@en
Predicting binding poses and a ...... tistical parameter estimation.
@nl
P2093
P2860
P1476
Predicting binding poses and a ...... atistical parameter estimation
@en
P2093
Andreas Eisenbarth
Frédéric Cazals
Maria Kadukova
Simon Marillet
P2860
P2888
P304
P356
10.1007/S10822-016-9976-2
P577
2016-09-01T00:00:00Z