Fast, efficient fragment-based coordinate generation for Open Babel

Abstract Rapidly predicting an accurate three dimensional geometry of a molecule is a crucial task for cheminformatics and across a wide range of molecular modeling. Consequently, developing a fast, accurate, and open implementation of structure prediction is necessary for reproducible cheminformati...

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Main Authors: Naruki Yoshikawa, Geoffrey R. Hutchison
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Journal of Cheminformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13321-019-0372-5
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spelling doaj-edd816d55435449c9abf4f29631cf79e2020-11-25T03:25:51ZengBMCJournal of Cheminformatics1758-29462019-08-011111910.1186/s13321-019-0372-5Fast, efficient fragment-based coordinate generation for Open BabelNaruki Yoshikawa0Geoffrey R. Hutchison1Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of TokyoDepartment of Chemistry and Chemical Engineering, University of PittsburghAbstract Rapidly predicting an accurate three dimensional geometry of a molecule is a crucial task for cheminformatics and across a wide range of molecular modeling. Consequently, developing a fast, accurate, and open implementation of structure prediction is necessary for reproducible cheminformatics research. We introduce a fragment-based coordinate generation implementation for Open Babel, a widely-used open source toolkit for cheminformatics. The new implementation improves speed and stereochemical accuracy, while retaining or improving accuracy of bond lengths, bond angles, and dihedral torsions. Input molecules are broken into fragments by cutting at rotatable bonds. The coordinates of fragments are set according to a fragment library, prepared from open crystallographic databases. Since the coordinates of multiple atoms are decided at once, coordinate prediction is accelerated over the previous rules-based implementation in Open Babel, as well as the widely-used distance geometry methods in RDKit. This new implementation will be beneficial for a wide range of applications, including computational property prediction in polymers, molecular materials and drug design.http://link.springer.com/article/10.1186/s13321-019-0372-5Coordinate generationFragmentsMolecular geometry
collection DOAJ
language English
format Article
sources DOAJ
author Naruki Yoshikawa
Geoffrey R. Hutchison
spellingShingle Naruki Yoshikawa
Geoffrey R. Hutchison
Fast, efficient fragment-based coordinate generation for Open Babel
Journal of Cheminformatics
Coordinate generation
Fragments
Molecular geometry
author_facet Naruki Yoshikawa
Geoffrey R. Hutchison
author_sort Naruki Yoshikawa
title Fast, efficient fragment-based coordinate generation for Open Babel
title_short Fast, efficient fragment-based coordinate generation for Open Babel
title_full Fast, efficient fragment-based coordinate generation for Open Babel
title_fullStr Fast, efficient fragment-based coordinate generation for Open Babel
title_full_unstemmed Fast, efficient fragment-based coordinate generation for Open Babel
title_sort fast, efficient fragment-based coordinate generation for open babel
publisher BMC
series Journal of Cheminformatics
issn 1758-2946
publishDate 2019-08-01
description Abstract Rapidly predicting an accurate three dimensional geometry of a molecule is a crucial task for cheminformatics and across a wide range of molecular modeling. Consequently, developing a fast, accurate, and open implementation of structure prediction is necessary for reproducible cheminformatics research. We introduce a fragment-based coordinate generation implementation for Open Babel, a widely-used open source toolkit for cheminformatics. The new implementation improves speed and stereochemical accuracy, while retaining or improving accuracy of bond lengths, bond angles, and dihedral torsions. Input molecules are broken into fragments by cutting at rotatable bonds. The coordinates of fragments are set according to a fragment library, prepared from open crystallographic databases. Since the coordinates of multiple atoms are decided at once, coordinate prediction is accelerated over the previous rules-based implementation in Open Babel, as well as the widely-used distance geometry methods in RDKit. This new implementation will be beneficial for a wide range of applications, including computational property prediction in polymers, molecular materials and drug design.
topic Coordinate generation
Fragments
Molecular geometry
url http://link.springer.com/article/10.1186/s13321-019-0372-5
work_keys_str_mv AT narukiyoshikawa fastefficientfragmentbasedcoordinategenerationforopenbabel
AT geoffreyrhutchison fastefficientfragmentbasedcoordinategenerationforopenbabel
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