Cargando…
Structure–Activity Predictions From Computational Mining of Protein Databases to Assist Modular Design of Antimicrobial Peptides
Antimicrobial peptides (AMPs) are naturally produced by pro- and eukaryotes and are promising alternatives to antibiotics to fight multidrug-resistant microorganisms. However, despite thousands of AMP entries in respective databases, predictions about their structure–activity relationships are still...
Autores principales: | Feurstein, Claudia, Meyer, Vera, Jung, Sascha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075106/ https://www.ncbi.nlm.nih.gov/pubmed/35531270 http://dx.doi.org/10.3389/fmicb.2022.812903 |
Ejemplares similares
-
Computer-Aided Design of Antimicrobial Peptides: Are We Generating Effective Drug Candidates?
por: Cardoso, Marlon H., et al.
Publicado: (2020) -
Editorial: Antimicrobial Peptides: Molecular Design, Structure-Function Relationship, and Biosynthesis Optimization
por: Hao, Ya, et al.
Publicado: (2022) -
Editorial: Community series in antimicrobial peptides: Molecular design, structure function relationship and biosynthesis optimization
por: Yang, Na, et al.
Publicado: (2023) -
Database Mining to Unravel the Ecology of the Phylum Chloroflexi in Methanogenic Full Scale Bioreactors
por: Bovio-Winkler, Patricia, et al.
Publicado: (2021) -
An Efficient Evaluation System Accelerates α-Helical Antimicrobial Peptide Discovery and Its Application to Global Human Genome Mining
por: Liu, Licheng, et al.
Publicado: (2022)