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Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration
“Virtual Screening” is a common step of in silico drug design, where researchers screen a large library of small molecules (ligands) for interesting hits, in a process known as “Docking”. However, docking is a computationally intensive and time-consuming process, usually restricted to small size bin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684369/ https://www.ncbi.nlm.nih.gov/pubmed/29133831 http://dx.doi.org/10.1038/s41598-017-15571-7 |
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author | Hassan, Nafisa M. Alhossary, Amr A. Mu, Yuguang Kwoh, Chee-Keong |
author_facet | Hassan, Nafisa M. Alhossary, Amr A. Mu, Yuguang Kwoh, Chee-Keong |
author_sort | Hassan, Nafisa M. |
collection | PubMed |
description | “Virtual Screening” is a common step of in silico drug design, where researchers screen a large library of small molecules (ligands) for interesting hits, in a process known as “Docking”. However, docking is a computationally intensive and time-consuming process, usually restricted to small size binding sites (pockets) and small number of interacting residues. When the target site is not known (blind docking), researchers split the docking box into multiple boxes, or repeat the search several times using different seeds, and then merge the results manually. Otherwise, the search time becomes impractically long. In this research, we studied the relation between the search progression and Average Sum of Proximity relative Frequencies (ASoF) of searching threads, which is closely related to the search speed and accuracy. A new inter-process spatio-temporal integration method is employed in Quick Vina 2, resulting in a new docking tool, QuickVina-W, a suitable tool for “blind docking”, (not limited in search space size or number of residues). QuickVina-W is faster than Quick Vina 2, yet better than AutoDock Vina. It should allow researchers to screen huge ligand libraries virtually, in practically short time and with high accuracy without the need to define a target pocket beforehand. |
format | Online Article Text |
id | pubmed-5684369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56843692017-11-21 Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration Hassan, Nafisa M. Alhossary, Amr A. Mu, Yuguang Kwoh, Chee-Keong Sci Rep Article “Virtual Screening” is a common step of in silico drug design, where researchers screen a large library of small molecules (ligands) for interesting hits, in a process known as “Docking”. However, docking is a computationally intensive and time-consuming process, usually restricted to small size binding sites (pockets) and small number of interacting residues. When the target site is not known (blind docking), researchers split the docking box into multiple boxes, or repeat the search several times using different seeds, and then merge the results manually. Otherwise, the search time becomes impractically long. In this research, we studied the relation between the search progression and Average Sum of Proximity relative Frequencies (ASoF) of searching threads, which is closely related to the search speed and accuracy. A new inter-process spatio-temporal integration method is employed in Quick Vina 2, resulting in a new docking tool, QuickVina-W, a suitable tool for “blind docking”, (not limited in search space size or number of residues). QuickVina-W is faster than Quick Vina 2, yet better than AutoDock Vina. It should allow researchers to screen huge ligand libraries virtually, in practically short time and with high accuracy without the need to define a target pocket beforehand. Nature Publishing Group UK 2017-11-13 /pmc/articles/PMC5684369/ /pubmed/29133831 http://dx.doi.org/10.1038/s41598-017-15571-7 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hassan, Nafisa M. Alhossary, Amr A. Mu, Yuguang Kwoh, Chee-Keong Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration |
title | Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration |
title_full | Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration |
title_fullStr | Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration |
title_full_unstemmed | Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration |
title_short | Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration |
title_sort | protein-ligand blind docking using quickvina-w with inter-process spatio-temporal integration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5684369/ https://www.ncbi.nlm.nih.gov/pubmed/29133831 http://dx.doi.org/10.1038/s41598-017-15571-7 |
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