Spresso: an ultrafast compound pre-screening method based on compound decomposition
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 si...
Saved in:
Published in | Bioinformatics (Oxford, England) Vol. 33; no. 23; pp. 3836 - 3843 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.12.2017
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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.
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.
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.
akiyama@c.titech.ac.jp.
Supplementary data are available at Bioinformatics online. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1367-4803 1367-4811 |
DOI: | 10.1093/bioinformatics/btx178 |