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Molecular docking performance evaluated on the D3R Grand Challenge 2015 drug-like ligand datasets.

Authors :
Selwa E
Martiny VY
Iorga BI
Source :
Journal of computer-aided molecular design [J Comput Aided Mol Des] 2016 Sep; Vol. 30 (9), pp. 829-839. Date of Electronic Publication: 2016 Oct 03.
Publication Year :
2016

Abstract

The D3R Grand Challenge 2015 was focused on two protein targets: Heat Shock Protein 90 (HSP90) and Mitogen-Activated Protein Kinase Kinase Kinase Kinase 4 (MAP4K4). We used a protocol involving a preliminary analysis of the available data in PDB and PubChem BioAssay, and then a docking/scoring step using more computationally demanding parameters that were required to provide more reliable predictions. We could evidence that different docking software and scoring functions can behave differently on individual ligand datasets, and that the flexibility of specific binding site residues is a crucial element to provide good predictions.

Details

Language :
English
ISSN :
1573-4951
Volume :
30
Issue :
9
Database :
MEDLINE
Journal :
Journal of computer-aided molecular design
Publication Type :
Academic Journal
Accession number :
27699554
Full Text :
https://doi.org/10.1007/s10822-016-9983-3