Proteomic Screening for Prediction and Design of Antimicrobial Peptides with AmpGram.

ABSTRACT: Antimicrobial peptides (AMPs) are molecules widespread in all branches of the tree of life that participate in host defense and/or microbial competition. Due to their positive charge, hydrophobicity and amphipathicity, they preferentially disrupt negatively charged bacterial membranes. AMPs are considered an important alternative to traditional antibiotics, especially at the time when multidrug-resistant bacteria being on the rise. Therefore, to reduce the costs of experimental research, robust computational tools for AMP prediction and identification of the best AMP candidates are essential. AmpGram is our novel tool for AMP prediction; it outperforms top-ranking AMP classifiers, including AMPScanner, CAMPR3R and iAMPpred. It is the first AMP prediction tool created for longer AMPs and fo

SUBMITTER: Burdukiewicz M 

PROVIDER: S-EPMC7352166 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature