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AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina

BACKGROUND: Halogen bonding has recently come to play as a target for lead optimization in rational drug design. However, most docking program don’t account for halogen bonding in their scoring functions and are not able to utilize this new approach. In this study a new and improved halogen bonding...

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Autores principales: Koebel, Mathew R., Schmadeke, Grant, Posner, Richard G., Sirimulla, Suman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870740/
https://www.ncbi.nlm.nih.gov/pubmed/27195023
http://dx.doi.org/10.1186/s13321-016-0139-1
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author Koebel, Mathew R.
Schmadeke, Grant
Posner, Richard G.
Sirimulla, Suman
author_facet Koebel, Mathew R.
Schmadeke, Grant
Posner, Richard G.
Sirimulla, Suman
author_sort Koebel, Mathew R.
collection PubMed
description BACKGROUND: Halogen bonding has recently come to play as a target for lead optimization in rational drug design. However, most docking program don’t account for halogen bonding in their scoring functions and are not able to utilize this new approach. In this study a new and improved halogen bonding scoring function (XBSF) is presented along with its implementation in the AutoDock Vina molecular docking software. This new improved program is termed as AutoDock VinaXB, where XB stands for the halogen bonding parameters that were added. RESULTS: XBSF scoring function is derived based on the X···A distance and C–X···A angle of interacting atoms. The distance term was further corrected to account for the polar flattening effect of halogens. A total of 106 protein-halogenated ligand complexes were tested and compared in terms of binding affinity and docking poses using Vina and VinaXB. VinaXB performed superior to Vina in the majority of instances. VinaXB was closer to native pose both above and below 2 Å deviation categories almost twice as frequently as Vina. CONCLUSIONS: Implementation of XBSF into AutoDock Vina has been shown to improve the accuracy of the docking result with regards to halogenated ligands. AutoDock VinaXB addresses the issues of halogen bonds that were previously being scored unfavorably due to repulsion factors, thus effectively lowering the output RMSD values. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-016-0139-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-48707402016-05-19 AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina Koebel, Mathew R. Schmadeke, Grant Posner, Richard G. Sirimulla, Suman J Cheminform Software BACKGROUND: Halogen bonding has recently come to play as a target for lead optimization in rational drug design. However, most docking program don’t account for halogen bonding in their scoring functions and are not able to utilize this new approach. In this study a new and improved halogen bonding scoring function (XBSF) is presented along with its implementation in the AutoDock Vina molecular docking software. This new improved program is termed as AutoDock VinaXB, where XB stands for the halogen bonding parameters that were added. RESULTS: XBSF scoring function is derived based on the X···A distance and C–X···A angle of interacting atoms. The distance term was further corrected to account for the polar flattening effect of halogens. A total of 106 protein-halogenated ligand complexes were tested and compared in terms of binding affinity and docking poses using Vina and VinaXB. VinaXB performed superior to Vina in the majority of instances. VinaXB was closer to native pose both above and below 2 Å deviation categories almost twice as frequently as Vina. CONCLUSIONS: Implementation of XBSF into AutoDock Vina has been shown to improve the accuracy of the docking result with regards to halogenated ligands. AutoDock VinaXB addresses the issues of halogen bonds that were previously being scored unfavorably due to repulsion factors, thus effectively lowering the output RMSD values. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-016-0139-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2016-05-18 /pmc/articles/PMC4870740/ /pubmed/27195023 http://dx.doi.org/10.1186/s13321-016-0139-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Koebel, Mathew R.
Schmadeke, Grant
Posner, Richard G.
Sirimulla, Suman
AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina
title AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina
title_full AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina
title_fullStr AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina
title_full_unstemmed AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina
title_short AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina
title_sort autodock vinaxb: implementation of xbsf, new empirical halogen bond scoring function, into autodock vina
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870740/
https://www.ncbi.nlm.nih.gov/pubmed/27195023
http://dx.doi.org/10.1186/s13321-016-0139-1
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