Cargando…
Analysis and Prediction of the Critical Regions of Antimicrobial Peptides Based on Conditional Random Fields
Antimicrobial peptides (AMPs) are potent drug candidates against microbes such as bacteria, fungi, parasites, and viruses. The size of AMPs ranges from less than ten to hundreds of amino acids. Often only a few amino acids or the critical regions of antimicrobial proteins matter the functionality. A...
Autores principales: | Chang, Kuan Y., Lin, Tung-pei, Shih, Ling-Yi, Wang, Chien-Kuo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4372350/ https://www.ncbi.nlm.nih.gov/pubmed/25803302 http://dx.doi.org/10.1371/journal.pone.0119490 |
Ejemplares similares
-
Large-Scale Analysis of Antimicrobial Activities in Relation to Amphipathicity and Charge Reveals Novel Characterization of Antimicrobial Peptides
por: Wang, Chien-Kuo, et al.
Publicado: (2017) -
DeepPeptide predicts cleaved peptides in proteins using conditional random fields
por: Teufel, Felix, et al.
Publicado: (2023) -
Using random forest to predict antimicrobial minimum inhibitory concentrations of nontyphoidal Salmonella in Taiwan
por: Wang, Chia-Chi, et al.
Publicado: (2023) -
Adding a C-terminal Cysteine (CTC) Can Enhance the Bactericidal Activity of Three Different Antimicrobial Peptides
por: Chen, Heng-Li, et al.
Publicado: (2018) -
Analysis and Prediction of Highly Effective Antiviral Peptides Based on Random Forests
por: Chang, Kuan Y., et al.
Publicado: (2013)