DPABBs: A Novel in silico Approach for Predicting and Designing Anti-biofilm Peptides.

ABSTRACT: Increasingly, biofilms are being recognised for their causative role in persistent infections (like cystic fibrosis, otitis media, diabetic foot ulcers) and nosocomial diseases (biofilm-infected vascular catheters, implants and prosthetics). Given the clinical relevance of biofilms and their recalcitrance to conventional antibiotics, it is imperative that alternative therapeutics are proactively sought. We have developed dPABBs, a web server that facilitates the prediction and design of anti-biofilm peptides. The six SVM and Weka models implemented on dPABBs were observed to identify anti-biofilm peptides on the basis of their whole amino acid composition, selected residue features and the positional preference of the residues (maximum accuracy, sensitivity, specificity and MCC of 95.24%,

SUBMITTER: Sharma A 

PROVIDER: S-EPMC4766436 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature