Visualizing the superfamily of metallo-β-lactamases through sequence similarity network neighborhood connectivity analysis

Protein sequence similarity networks (SSNs) constitute a convenient approach to analyze large polypeptide sequence datasets, and have been successfully applied to study a number of protein families over the past decade. SSN analysis is herein combined with traditional cladistic and phenetic phylogen...

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Detalles Bibliográficos
Autor principal: González, Javier M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785958/
https://www.ncbi.nlm.nih.gov/pubmed/33426353
http://dx.doi.org/10.1016/j.heliyon.2020.e05867

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785958/
https://www.ncbi.nlm.nih.gov/pubmed/33426353
http://dx.doi.org/10.1016/j.heliyon.2020.e05867

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