Roura Padrosa, David; Marchini, Valentina; Paradisi, Francesca (2021). CapiPy: python based GUI-application to assist in protein immobilization. Bioinformatics, 37(17), pp. 2761-2762. Oxford University Press 10.1093/bioinformatics/btab030
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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
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Department of Chemistry, Biochemistry and Pharmaceutical Sciences (DCBP) |
UniBE Contributor: |
Roura Padrosa, David, Marchini, Valentina, Paradisi, Francesca |
Subjects: |
500 Science > 540 Chemistry |
ISSN: |
1367-4803 |
Publisher: |
Oxford University Press |
Funders: |
[4] Swiss National Science Foundation |
Projects: |
Projects 200021 not found. |
Language: |
English |
Submitter: |
Francesca Paradisi |
Date Deposited: |
02 Feb 2021 10:00 |
Last Modified: |
13 Apr 2023 00:10 |
Publisher DOI: |
10.1093/bioinformatics/btab030 |
PubMed ID: |
33459767 |
BORIS DOI: |
10.48350/151381 |
URI: |
https://boris.unibe.ch/id/eprint/151381 |
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