PyMod 3: a complete suite for structural bioinformatics in PyMOL.


Journal

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

Informations de publication

Date de publication:
16 06 2021
Historique:
received: 22 06 2020
revised: 22 08 2020
accepted: 17 09 2020
pubmed: 4 10 2020
medline: 1 7 2021
entrez: 3 10 2020
Statut: ppublish

Résumé

The PyMod project is designed to act as a fully integrated interface between the popular molecular graphics viewer PyMOL, and some of the most frequently used tools for structural bioinformatics, e.g. BLAST, HMMER, Clustal, MUSCLE, PSIPRED, DOPE and MODELLER. Here we report its latest release, PyMod 3, which has been completely renewed with a graphical interface written in PyQt, to make it compatible with the most recent PyMOL versions, and has been extended with a large set of new functionalities compared to its predecessor, i.e. PyMod 2. Starting from the amino acid sequence of a target protein, users can take advantage of PyMod 3 to carry out all the steps of the homology modeling process (i.e. template searching, target-template sequence alignment, model building and quality assessment). Additionally, the integrated tools in PyMod 3 may also be used alone, in order to extend PyMOL with a wide range of capabilities. Sequence similarity searches, multiple sequence/structure alignment building, phylogenetic trees and evolutionary conservation analyses, domain parsing, single/multiple chains and loop modeling can be performed in the PyMod 3/PyMOL environment. A cross-platform PyMod 3 installer package for Windows, Linux and Mac OS X and a complete user guide with tutorials, are available at https://github.com/pymodproject/pymod. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 33010156
pii: 5917627
doi: 10.1093/bioinformatics/btaa849
doi:

Substances chimiques

Proteins 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1471-1472

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

Giacomo Janson (G)

Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.

Alessandro Paiardini (A)

Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.

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Classifications MeSH