Predicting hydration free energies of polychlorinated aromatic compounds from the SAMPL-3 data set with FiSH and LIE models.
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Parameterization of an effective potential for protein-ligand binding from host-guest affinity data.Blind prediction of solvation free energies from the SAMPL4 challenge.Bayesian Model Averaging for Ensemble-Based Estimates of Solvation-Free Energies.Binding pose and affinity prediction in the 2016 D3R Grand Challenge 2 using the Wilma-SIE method.
P2860
Predicting hydration free energies of polychlorinated aromatic compounds from the SAMPL-3 data set with FiSH and LIE models.
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
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2011年の論文
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年學術文章
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name
Predicting hydration free ener ...... set with FiSH and LIE models.
@ast
Predicting hydration free ener ...... set with FiSH and LIE models.
@en
Predicting hydration free ener ...... set with FiSH and LIE models.
@nl
type
label
Predicting hydration free ener ...... set with FiSH and LIE models.
@ast
Predicting hydration free ener ...... set with FiSH and LIE models.
@en
Predicting hydration free ener ...... set with FiSH and LIE models.
@nl
prefLabel
Predicting hydration free ener ...... set with FiSH and LIE models.
@ast
Predicting hydration free ener ...... set with FiSH and LIE models.
@en
Predicting hydration free ener ...... set with FiSH and LIE models.
@nl
P2860
P1476
Predicting hydration free ener ...... set with FiSH and LIE models.
@en
P2093
Enrico O Purisima
Traian Sulea
P2860
P2888
P304
P356
10.1007/S10822-011-9522-1
P577
2011-12-22T00:00:00Z