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Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database
The number of entries in the Protein Data Bank (PDB) has doubled in the last decade, and it has increased tenfold in the last twenty years. The availability of an ever-growing number of structures is having a huge impact on the Structure-Based Drug Discovery (SBDD), allowing investigation of new tar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679043/ https://www.ncbi.nlm.nih.gov/pubmed/31330841 http://dx.doi.org/10.3390/ijms20143558 |
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author | Bolcato, Giovanni Cuzzolin, Alberto Bissaro, Maicol Moro, Stefano Sturlese, Mattia |
author_facet | Bolcato, Giovanni Cuzzolin, Alberto Bissaro, Maicol Moro, Stefano Sturlese, Mattia |
author_sort | Bolcato, Giovanni |
collection | PubMed |
description | The number of entries in the Protein Data Bank (PDB) has doubled in the last decade, and it has increased tenfold in the last twenty years. The availability of an ever-growing number of structures is having a huge impact on the Structure-Based Drug Discovery (SBDD), allowing investigation of new targets and giving the possibility to have multiple structures of the same macromolecule in a complex with different ligands. Such a large resource often implies the choice of the most suitable complex for molecular docking calculation, and this task is complicated by the plethora of possible posing and scoring function algorithms available, which may influence the quality of the outcomes. Here, we report a large benchmark performed on the PDBbind database containing more than four thousand entries and seventeen popular docking protocols. We found that, even in protein families wherein docking protocols generally showed acceptable results, certain ligand-protein complexes are poorly reproduced in the self-docking procedure. Such a trend in certain protein families is more pronounced, and this underlines the importance in identification of a suitable protein–ligand conformation coupled to a well-performing docking protocol. |
format | Online Article Text |
id | pubmed-6679043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66790432019-08-19 Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database Bolcato, Giovanni Cuzzolin, Alberto Bissaro, Maicol Moro, Stefano Sturlese, Mattia Int J Mol Sci Article The number of entries in the Protein Data Bank (PDB) has doubled in the last decade, and it has increased tenfold in the last twenty years. The availability of an ever-growing number of structures is having a huge impact on the Structure-Based Drug Discovery (SBDD), allowing investigation of new targets and giving the possibility to have multiple structures of the same macromolecule in a complex with different ligands. Such a large resource often implies the choice of the most suitable complex for molecular docking calculation, and this task is complicated by the plethora of possible posing and scoring function algorithms available, which may influence the quality of the outcomes. Here, we report a large benchmark performed on the PDBbind database containing more than four thousand entries and seventeen popular docking protocols. We found that, even in protein families wherein docking protocols generally showed acceptable results, certain ligand-protein complexes are poorly reproduced in the self-docking procedure. Such a trend in certain protein families is more pronounced, and this underlines the importance in identification of a suitable protein–ligand conformation coupled to a well-performing docking protocol. MDPI 2019-07-20 /pmc/articles/PMC6679043/ /pubmed/31330841 http://dx.doi.org/10.3390/ijms20143558 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bolcato, Giovanni Cuzzolin, Alberto Bissaro, Maicol Moro, Stefano Sturlese, Mattia Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database |
title | Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database |
title_full | Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database |
title_fullStr | Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database |
title_full_unstemmed | Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database |
title_short | Can We Still Trust Docking Results? An Extension of the Applicability of DockBench on PDBbind Database |
title_sort | can we still trust docking results? an extension of the applicability of dockbench on pdbbind database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679043/ https://www.ncbi.nlm.nih.gov/pubmed/31330841 http://dx.doi.org/10.3390/ijms20143558 |
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