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Variability in docking success rates due to dataset preparation

The results of cognate docking with the prepared Astex dataset provided by the organizers of the “Docking and Scoring: A Review of Docking Programs” session at the 241st ACS national meeting are presented. The MOE software with the newly developed GBVI/WSA dG scoring function is used throughout the...

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Autores principales: Corbeil, Christopher R., Williams, Christopher I., Labute, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397132/
https://www.ncbi.nlm.nih.gov/pubmed/22566074
http://dx.doi.org/10.1007/s10822-012-9570-1
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author Corbeil, Christopher R.
Williams, Christopher I.
Labute, Paul
author_facet Corbeil, Christopher R.
Williams, Christopher I.
Labute, Paul
author_sort Corbeil, Christopher R.
collection PubMed
description The results of cognate docking with the prepared Astex dataset provided by the organizers of the “Docking and Scoring: A Review of Docking Programs” session at the 241st ACS national meeting are presented. The MOE software with the newly developed GBVI/WSA dG scoring function is used throughout the study. For 80 % of the Astex targets, the MOE docker produces a top-scoring pose within 2 Å of the X-ray structure. For 91 % of the targets a pose within 2 Å of the X-ray structure is produced in the top 30 poses. Docking failures, defined as cases where the top scoring pose is greater than 2 Å from the experimental structure, are shown to be largely due to the absence of bound waters in the source dataset, highlighting the need to include these and other crucial information in future standardized sets. Docking success is shown to depend heavily on data preparation. A “dataset preparation” error of 0.5 kcal/mol is shown to cause fluctuations of over 20 % in docking success rates.
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spelling pubmed-33971322012-07-19 Variability in docking success rates due to dataset preparation Corbeil, Christopher R. Williams, Christopher I. Labute, Paul J Comput Aided Mol Des Article The results of cognate docking with the prepared Astex dataset provided by the organizers of the “Docking and Scoring: A Review of Docking Programs” session at the 241st ACS national meeting are presented. The MOE software with the newly developed GBVI/WSA dG scoring function is used throughout the study. For 80 % of the Astex targets, the MOE docker produces a top-scoring pose within 2 Å of the X-ray structure. For 91 % of the targets a pose within 2 Å of the X-ray structure is produced in the top 30 poses. Docking failures, defined as cases where the top scoring pose is greater than 2 Å from the experimental structure, are shown to be largely due to the absence of bound waters in the source dataset, highlighting the need to include these and other crucial information in future standardized sets. Docking success is shown to depend heavily on data preparation. A “dataset preparation” error of 0.5 kcal/mol is shown to cause fluctuations of over 20 % in docking success rates. Springer Netherlands 2012-05-08 2012 /pmc/articles/PMC3397132/ /pubmed/22566074 http://dx.doi.org/10.1007/s10822-012-9570-1 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Corbeil, Christopher R.
Williams, Christopher I.
Labute, Paul
Variability in docking success rates due to dataset preparation
title Variability in docking success rates due to dataset preparation
title_full Variability in docking success rates due to dataset preparation
title_fullStr Variability in docking success rates due to dataset preparation
title_full_unstemmed Variability in docking success rates due to dataset preparation
title_short Variability in docking success rates due to dataset preparation
title_sort variability in docking success rates due to dataset preparation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397132/
https://www.ncbi.nlm.nih.gov/pubmed/22566074
http://dx.doi.org/10.1007/s10822-012-9570-1
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