CapiPy: python-based GUI-application to assist in protein immobilization.


Journal

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

Informations de publication

Date de publication:
09 Sep 2021
Historique:
received: 19 10 2020
revised: 14 12 2020
accepted: 11 01 2021
medline: 19 1 2021
pubmed: 19 1 2021
entrez: 18 1 2021
Statut: ppublish

Résumé

Protein immobilization, while widespread to unlock enzyme potential in biocatalysis, remains tied to a trial an error approach. Nonetheless, several databases and computational methods have been developed for protein characterization and their study. CapiPy is a user-friendly application for protein model creation and subsequent analysis with a special focus on the ease of use and interpretation of the results to help the users to make an informed decision on the immobilization approach which should be ideal for a protein of interest. The package has been tested with three separate random sets of 150 protein sequences from Uniprot with more than a 70% overall success rate (see Supplementary information and Supplementary Dataset). The package is free to use under the GNU General Public License v3.0. All necessary files can be downloaded from https://github.com/drou0302/CapiPy or https://pypi.org/project/CapiPy/. All external requirements are also freely available, with some restrictions for non-academic users. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 33459767
pii: 6103562
doi: 10.1093/bioinformatics/btab030
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2761-2762

Subventions

Organisme : Swiss National Science Fundation (SNSF)
ID : 200021_192274

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

David Roura Padrosa (D)

Department of Chemistry and Biochemistry, University of Bern, Freiestrasse 3, 3012 Bern, Switzerland.

Valentina Marchini (V)

Department of Chemistry and Biochemistry, University of Bern, Freiestrasse 3, 3012 Bern, Switzerland.

Francesca Paradisi (F)

Department of Chemistry and Biochemistry, University of Bern, Freiestrasse 3, 3012 Bern, Switzerland.

Classifications MeSH