Peptide design principles for antimicrobial applications

MDT Torres, S Sothiselvam, TK Lu… - Journal of molecular …, 2019 - Elsevier
The increased incidence of bacterial resistance to available antibiotics represents a major
global health problem and highlights the need for novel anti-infective therapies …

Antimicrobial peptides: A potent alternative to antibiotics

M Rima, M Rima, Z Fajloun, JM Sabatier, B Bechinger… - Antibiotics, 2021 - mdpi.com
Antimicrobial peptides constitute one of the most promising alternatives to antibiotics since
they could be used to treat bacterial infections, especially those caused by multidrug …

Deep learning improves antimicrobial peptide recognition

D Veltri, U Kamath, A Shehu - Bioinformatics, 2018 - academic.oup.com
Motivation Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides
(AMPs), natural components of innate immunity, are popular targets for developing new …

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC

PK Meher, TK Sahu, V Saini, AR Rao - Scientific reports, 2017 - nature.com
Antimicrobial peptides (AMPs) are important components of the innate immune system that
have been found to be effective against disease causing pathogens. Identification of AMPs …

Clinical applications of antimicrobial peptides (AMPs): where do we stand now?

M Divyashree, MK Mani, D Reddy… - Protein and peptide …, 2020 - ingentaconnect.com
In this era of multi-drug resistance (MDR), antimicrobial peptides (AMPs) are one of the most
promising classes of potential drug candidates to combat communicable as well as …

Coping with the ESKAPE pathogens: Evolving strategies, challenges and future prospects

C Aloke, I Achilonu - Microbial pathogenesis, 2023 - Elsevier
Globally, the ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella
pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter …

iAMP-CA2L: a new CNN-BiLSTM-SVM classifier based on cellular automata image for identifying antimicrobial peptides and their functional types

X Xiao, YT Shao, X Cheng… - Briefings in …, 2021 - academic.oup.com
Predicting antimicrobial peptides (AMPs') function is an important and difficult problem,
particularly when AMPs have many multiplex functions, ie some AMPs simultaneously have …

IAMPE: NMR-assisted computational prediction of antimicrobial peptides

K Kavousi, M Bagheri, S Behrouzi… - Journal of Chemical …, 2020 - ACS Publications
Antimicrobial peptides (AMPs) are at the focus of attention due to their therapeutic
importance and developing computational tools for the identification of efficient antibiotics …

Machine learning in antibacterial drug design

M Jukič, U Bren - Frontiers in Pharmacology, 2022 - frontiersin.org
Advances in computer hardware and the availability of high-performance supercomputing
platforms and parallel computing, along with artificial intelligence methods are successfully …

Future of antimicrobial peptides derived from plants in food application–A focus on synthetic peptides

LN Shwaiki, KM Lynch, EK Arendt - Trends in Food Science & Technology, 2021 - Elsevier
Background Food spoilage is caused by the undesirable growth of spoilage microorganisms
in food products. This spoilage can lead to the global loss and waste of food. It is estimated …