Cargando…
Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects
Antimicrobial peptides (AMPs) are a diverse class of short, often cationic biological molecules that present promising opportunities in the development of new therapeutics to combat antimicrobial resistance. Newly developed in silico methods offer the ability to rapidly discover numerous novel AMPs...
Autores principales: | Richter, Amelia, Sutherland, Darcy, Ebrahimikondori, Hossein, Babcock, Alana, Louie, Nathan, Li, Chenkai, Coombe, Lauren, Lin, Diana, Warren, René L., Yanai, Anat, Kotkoff, Monica, Helbing, Caren C., Hof, Fraser, Hoang, Linda M. N., Birol, Inanc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774241/ https://www.ncbi.nlm.nih.gov/pubmed/36551368 http://dx.doi.org/10.3390/antibiotics11121710 |
Ejemplares similares
-
Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage
por: Lin, Diana, et al.
Publicado: (2022) -
The Metamorphosis of Amphibian Toxicogenomics
por: Helbing, Caren C.
Publicado: (2012) -
AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens
por: Li, Chenkai, et al.
Publicado: (2022) -
Models and data of AMPlify: a deep learning tool for antimicrobial peptide prediction
por: Li, Chenkai, et al.
Publicado: (2023) -
De novo Transcriptome Assemblies of Rana (Lithobates) catesbeiana and Xenopus laevis Tadpole Livers for Comparative Genomics without Reference Genomes
por: Birol, Inanc, et al.
Publicado: (2015)