Predicting binding affinity of CSAR ligands using both structure-based and ligand-based approaches.
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Trust, but Verify II: A Practical Guide to Chemogenomics Data Curation.Improvements, trends, and new ideas in molecular docking: 2012-2013 in review.Review structure- and dynamics-based computational design of anticancer drugs.Use of bacteriophage to target bacterial surface structures required for virulence: a systematic search for antibiotic alternatives.Adverse drug reactions triggered by the common HLA-B*57:01 variant: a molecular docking study.Adverse drug reactions triggered by the common HLA-B*57:01 variant: virtual screening of DrugBank using 3D molecular docking.Docking of small molecules to farnesoid X receptors using AutoDock Vina with the Convex-PL potential: lessons learned from D3R Grand Challenge 2.
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P2860
Predicting binding affinity of CSAR ligands using both structure-based and ligand-based approaches.
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name
Predicting binding affinity of ...... d and ligand-based approaches.
@en
Predicting binding affinity of ...... d and ligand-based approaches.
@nl
type
label
Predicting binding affinity of ...... d and ligand-based approaches.
@en
Predicting binding affinity of ...... d and ligand-based approaches.
@nl
prefLabel
Predicting binding affinity of ...... d and ligand-based approaches.
@en
Predicting binding affinity of ...... d and ligand-based approaches.
@nl
P2860
P50
P356
P1476
Predicting binding affinity of ...... d and ligand-based approaches.
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P2093
Eugene Muratov
P2860
P304
P356
10.1021/CI400216Q
P577
2013-07-17T00:00:00Z