GeoMine: interactive pattern mining of protein-ligand interfaces in the Protein Data Bank.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
20 04 2021
Historique:
received: 29 05 2020
revised: 12 07 2020
accepted: 24 07 2020
pubmed: 1 8 2020
medline: 29 4 2021
entrez: 1 8 2020
Statut: ppublish

Résumé

The searching of user-defined 3D queries in molecular interfaces is a computationally challenging problem that is not satisfactorily solved so far. Most of the few existing tools focused on that purpose are desktop based and not openly available. Besides that, they show a lack of query versatility, search efficiency and user-friendliness. We address this issue with GeoMine, a publicly available web application that provides textual, numerical and geometrical search functionality for protein-ligand binding sites derived from structural data contained in the Protein Data Bank (PDB). The query generation is supported by a 3D representation of a start structure that provides interactively selectable elements like atoms, bonds and interactions. GeoMine gives full control over geometric variability in the query while performing a deterministic, precise search. Reasonably selective queries are processed on the entire set of protein-ligand complexes in the PDB within a few minutes. GeoMine offers an interactive and iterative search process of successive result analyses and query adaptations. From the numerous potential applications, we picked two from the field of side-effect analyze showcasing the usefulness of GeoMine. GeoMine is part of the ProteinsPlus web application suite and freely available at https://proteins.plus. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 32735322
pii: 5879276
doi: 10.1093/bioinformatics/btaa693
doi:

Substances chimiques

Ligands 0
Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

424-425

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Konrad Diedrich (K)

Universität Hamburg, ZBH - Center for Bioinformatics, 20146 Hamburg, Germany.

Joel Graef (J)

Universität Hamburg, ZBH - Center for Bioinformatics, 20146 Hamburg, Germany.

Katrin Schöning-Stierand (K)

Universität Hamburg, ZBH - Center for Bioinformatics, 20146 Hamburg, Germany.

Matthias Rarey (M)

Universität Hamburg, ZBH - Center for Bioinformatics, 20146 Hamburg, Germany.

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Classifications MeSH