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Molecular docking performance evaluated on the D3R Grand Challenge 2015 drug-like ligand datasets.
- 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.
- Subjects :
- Algorithms
Binding Sites
Databases, Protein
Drug Design
Humans
Ligands
Protein Binding
Structure-Activity Relationship
HSP90 Heat-Shock Proteins chemistry
Intracellular Signaling Peptides and Proteins chemistry
Molecular Docking Simulation methods
Protein Conformation
Protein Serine-Threonine Kinases chemistry
Subjects
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