Computational screening of antimicrobial peptides for Acinetobacter baumannii.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 31577808.
- Also identified by DOI 10.1371/journal.pone.0219693 and PMC identifier 6774513.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Acinetobacter baumannii, has been developing resistance to even the last line of drugs. Antimicrobial peptides (AMPs) to which bacteria do not develop resistance easily may be the last hope. A few independent experimental studies have designed and studied the activity of AMPs on A. baumannii, however the number of such studies are still limited. With the goal of developing a rational approach to the screening of AMPs against A. baumannii, we carefully curated the drug activity data from 75 cationic AMPs, all measured with a similar protocol, and on the same ATCC 19606 strain. A quantitative model developed and validated with a part of the data. While the model may be used for predicting the activity of any designed AMPs, in this work, we perform an in silico screening for the entire database of naturally occurring AMPs, to provide a rational guidance in this urgently needed drug development.
Medical subject headings
- Acinetobacter baumannii
- Anti-Bacterial Agents
- Antimicrobial Cationic Peptides
- Computer Simulation
- Models, Biological