Cargando…
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...
Autor principal: | González, Javier M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
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 |
Ejemplares similares
-
The Mechanisms of Catalysis by Metallo β-Lactamases
por: Page, Michael I., et al.
Publicado: (2008) -
Functional Metagenomics Reveals a New Catalytic Domain, the Metallo-β-Lactamase Superfamily Domain, Associated with Phytase Activity
por: Castillo Villamizar, Genis Andrés, et al.
Publicado: (2019) -
New metallo β-lactamase NDM-1
por: Raghunath, D.
Publicado: (2010) -
Metallo-β-Lactamases and Aptamer-Based Inhibition
por: Schlesinger, Sara R., et al.
Publicado: (2011) -
Use of ferrous iron by metallo-β-lactamases
por: Cahill, Samuel T., et al.
Publicado: (2016)