Your browser doesn't support javascript.
loading
pyCapsid: identifying dominant dynamics and quasi-rigid mechanical units in protein shells.
Brown, Colin; Agarwal, Anuradha; Luque, Antoni.
Afiliação
  • Brown C; Viral Information Institute, San Diego State University, San Diego, CA 92116, United States.
  • Agarwal A; Department of Physics, San Diego State University, San Diego, CA 92116, United States.
  • Luque A; Viral Information Institute, San Diego State University, San Diego, CA 92116, United States.
Bioinformatics ; 40(1)2024 01 02.
Article em En | MEDLINE | ID: mdl-38113434
ABSTRACT

SUMMARY:

pyCapsid is a Python package developed to facilitate the characterization of the dynamics and quasi-rigid mechanical units of protein shells and other protein complexes. The package was developed in response to the rapid increase of high-resolution structures, particularly capsids of viruses, requiring multiscale biophysical analyses. Given a protein shell, pyCapsid generates the collective vibrations of its amino-acid residues, identifies quasi-rigid mechanical regions associated with the disassembly of the structure, and maps the results back to the input proteins for interpretation. pyCapsid summarizes the main results in a report that includes publication-quality figures. AVAILABILITY AND IMPLEMENTATION pyCapsid's source code is available under MIT License on GitHub. It is compatible with Python 3.8-3.10 and has been deployed in two leading Python package-management systems, PIP and Conda. Installation instructions and tutorials are available in the online documentation and in the pyCapsid's YouTube playlist. In addition, a cloud-based implementation of pyCapsid is available as a Google Colab notebook. pyCapsid Colab does not require installation and generates the same report and outputs as the installable version. Users can post issues regarding pyCapsid in the repository's issues section.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos