Cargando…
Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure
Designing novel antimicrobial peptides is a hot area of research in the field of therapeutics especially after the emergence of resistant strains against the conventional antibiotics. In the past number of in silico methods have been developed for predicting the antimicrobial property of the peptide...
Autores principales: | Agrawal, Piyush, Raghava, Gajendra P. S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212470/ https://www.ncbi.nlm.nih.gov/pubmed/30416494 http://dx.doi.org/10.3389/fmicb.2018.02551 |
Ejemplares similares
-
Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues
por: Kumar, Vinod, et al.
Publicado: (2018) -
A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure
por: Kumar, Vinod, et al.
Publicado: (2020) -
In Silico Approach for Prediction of Antifungal Peptides
por: Agrawal, Piyush, et al.
Publicado: (2018) -
In silico approaches for predicting the half-life of natural and modified peptides in blood
por: Mathur, Deepika, et al.
Publicado: (2018) -
Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants
por: Nagpal, Gandharva, et al.
Publicado: (2018)