Antimicrobial peptides designed by computational analysis of proteomes-Reference-Cited by-同舟云学术

Antimicrobial peptides designed by computational analysis of proteomes

Published:2024-03-15 Issue:1 Volume:117 Page:
ISSN:0003-6072
Container-title:Antonie van Leeuwenhoek
language:en
Short-container-title:Antonie van Leeuwenhoek

Author:

Monsalve Dahiana^ORCID,Mesa Andrea^ORCID,Mira Laura M.^ORCID,Mera Carlos^ORCID,Orduz Sergio^ORCID,Branch-Bedoya John W.^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10482-024-01946-0.pdf

Reference39 articles.

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2. Bhullar K, Waglechner N, Pawlowski A et al (2012) Antibiotic resistance is prevalent in an isolated cave microbiome. PLoS ONE 7(4):e34953. https://doi.org/10.1371/JOURNAL.PONE.0034953

3. Boman HG (2003) Antibacterial peptides: Basic facts and emerging concepts. J Intern Med 254:197–215. https://doi.org/10.1046/j.1365-2796.2003.01228.x

4. Branch J, Orduz S, Mera C et al. (2022) AmpClass 1.0. Una herramienta informática para la predicción de la actividad antimicrobiana de péptidos. Dirección Nacional de Derechos de Autor. Registro 13-92-95, Colombia

5. Brand GD, Ramada MHS, Manickchand JR et al (2019) Intragenic antimicrobial peptides (IAPs) from human proteins with potent antimicrobial and anti-inflammatory activity. PLoS ONE 14(8):e0220656. https://doi.org/10.1371/JOURNAL.PONE.0220656

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