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Spresso: an ultrafast compound pre-screening method based on compound decomposition
MOTIVATION: Recently, the number of available protein tertiary structures and compounds has increased. However, structure-based virtual screening is computationally expensive owing to docking simulations. Thus, methods that filter out obviously unnecessary compounds prior to computationally expensiv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860314/ https://www.ncbi.nlm.nih.gov/pubmed/28369284 http://dx.doi.org/10.1093/bioinformatics/btx178 |
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author | Yanagisawa, Keisuke Komine, Shunta Suzuki, Shogo D Ohue, Masahito Ishida, Takashi Akiyama, Yutaka |
author_facet | Yanagisawa, Keisuke Komine, Shunta Suzuki, Shogo D Ohue, Masahito Ishida, Takashi Akiyama, Yutaka |
author_sort | Yanagisawa, Keisuke |
collection | PubMed |
description | MOTIVATION: Recently, the number of available protein tertiary structures and compounds has increased. However, structure-based virtual screening is computationally expensive owing to docking simulations. Thus, methods that filter out obviously unnecessary compounds prior to computationally expensive docking simulations have been proposed. However, the calculation speed of these methods is not fast enough to evaluate ≥ 10 million compounds. RESULTS: In this article, we propose a novel, docking-based pre-screening protocol named Spresso (Speedy PRE-Screening method with Segmented cOmpounds). Partial structures (fragments) are common among many compounds; therefore, the number of fragment variations needed for evaluation is smaller than that of compounds. Our method increases calculation speeds by ∼200-fold compared to conventional methods. AVAILABILITY AND IMPLEMENTATION: Spresso is written in C ++ and Python, and is available as an open-source code (http://www.bi.cs.titech.ac.jp/spresso/) under the GPLv3 license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5860314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58603142018-03-21 Spresso: an ultrafast compound pre-screening method based on compound decomposition Yanagisawa, Keisuke Komine, Shunta Suzuki, Shogo D Ohue, Masahito Ishida, Takashi Akiyama, Yutaka Bioinformatics Special Issue Papers: Giw 2016 MOTIVATION: Recently, the number of available protein tertiary structures and compounds has increased. However, structure-based virtual screening is computationally expensive owing to docking simulations. Thus, methods that filter out obviously unnecessary compounds prior to computationally expensive docking simulations have been proposed. However, the calculation speed of these methods is not fast enough to evaluate ≥ 10 million compounds. RESULTS: In this article, we propose a novel, docking-based pre-screening protocol named Spresso (Speedy PRE-Screening method with Segmented cOmpounds). Partial structures (fragments) are common among many compounds; therefore, the number of fragment variations needed for evaluation is smaller than that of compounds. Our method increases calculation speeds by ∼200-fold compared to conventional methods. AVAILABILITY AND IMPLEMENTATION: Spresso is written in C ++ and Python, and is available as an open-source code (http://www.bi.cs.titech.ac.jp/spresso/) under the GPLv3 license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-12-01 2017-03-30 /pmc/articles/PMC5860314/ /pubmed/28369284 http://dx.doi.org/10.1093/bioinformatics/btx178 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Issue Papers: Giw 2016 Yanagisawa, Keisuke Komine, Shunta Suzuki, Shogo D Ohue, Masahito Ishida, Takashi Akiyama, Yutaka Spresso: an ultrafast compound pre-screening method based on compound decomposition |
title | Spresso: an ultrafast compound pre-screening method based on compound decomposition |
title_full | Spresso: an ultrafast compound pre-screening method based on compound decomposition |
title_fullStr | Spresso: an ultrafast compound pre-screening method based on compound decomposition |
title_full_unstemmed | Spresso: an ultrafast compound pre-screening method based on compound decomposition |
title_short | Spresso: an ultrafast compound pre-screening method based on compound decomposition |
title_sort | spresso: an ultrafast compound pre-screening method based on compound decomposition |
topic | Special Issue Papers: Giw 2016 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860314/ https://www.ncbi.nlm.nih.gov/pubmed/28369284 http://dx.doi.org/10.1093/bioinformatics/btx178 |
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