iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides

[Image: see text] Antimalarial peptides (AMAPs) varying in length, amino acid composition, charge, conformational structure, hydrophobicity, and amphipathicity reflect their diversity in antimalarial mechanisms. Due to the worldwide major health problem concerning antimicrobial resistance, these pep...

Descripción completa

Detalles Bibliográficos
Autores principales: Charoenkwan, Phasit, Schaduangrat, Nalini, Lio, Pietro, Moni, Mohammad Ali, Chumnanpuen, Pramote, Shoombuatong, Watshara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670693/
https://www.ncbi.nlm.nih.gov/pubmed/36406571
http://dx.doi.org/10.1021/acsomega.2c04465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670693/
https://www.ncbi.nlm.nih.gov/pubmed/36406571
http://dx.doi.org/10.1021/acsomega.2c04465

Ejemplares similares