Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure.

ABSTRACT: 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 containing natural residues. This study describes models developed for predicting the antimicrobial property of a chemically modified peptide. Our models have been trained, tested and evaluated on a dataset that contains 948 antimicrobial and 931 non-antimicrobial peptides, containing chemically modified and natural residues. Firstly, the tertiary structure of all peptides has been predicted using software PEPstrMOD. Structure analysis indicates that certain type of modifications enhance

SUBMITTER: Agrawal P 

PROVIDER: S-EPMC6212470 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature