Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yanagisawa, Keisuke, Komine, Shunta, Suzuki, Shogo D, Ohue, Masahito, Ishida, Takashi, Akiyama, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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
_version_ 1783307965509402624
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
work_keys_str_mv AT yanagisawakeisuke spressoanultrafastcompoundprescreeningmethodbasedoncompounddecomposition
AT komineshunta spressoanultrafastcompoundprescreeningmethodbasedoncompounddecomposition
AT suzukishogod spressoanultrafastcompoundprescreeningmethodbasedoncompounddecomposition
AT ohuemasahito spressoanultrafastcompoundprescreeningmethodbasedoncompounddecomposition
AT ishidatakashi spressoanultrafastcompoundprescreeningmethodbasedoncompounddecomposition
AT akiyamayutaka spressoanultrafastcompoundprescreeningmethodbasedoncompounddecomposition