Antimicrobial peptides recognition using weighted physicochemical property encoding

S Na, DL Wannigama, T Saethang - Journal of Bioinformatics and …, 2023 - World Scientific
Antimicrobial resistance is a major public health concern. Antimicrobial peptides (AMPs) are
one of the host defense mechanisms responding efficiently against multidrug-resistant …

A novel antibacterial peptide recognition algorithm based on BERT

Y Zhang, J Lin, L Zhao, X Zeng… - Briefings in bioinformatics, 2021 - academic.oup.com
As the best substitute for antibiotics, antimicrobial peptides (AMPs) have important research
significance. Due to the high cost and difficulty of experimental methods for identifying …

AMPpred: An on-line predictor design for automated AMP recognition

YA Pan, X Xiao, P Wang - Applied Mechanics and Materials, 2012 - Trans Tech Publ
Antimicrobial peptides (AMP) are potent, broad spectrum antibiotics which demonstrate
potential as novel therapeutic agents. Because it is both time-consuming and laborious to …

Hierarchical machine learning model predicts antimicrobial peptide activity against Staphylococcus aureus

H Khabaz, M Rahimi-Nasrabadi… - Frontiers in Molecular …, 2023 - frontiersin.org
Introduction: Staphylococcus aureus is a dangerous pathogen which causes a vast selection
of infections. Antimicrobial peptides have been demonstrated as a new hope for developing …

[HTML][HTML] An automatic representation of peptides for effective antimicrobial activity classification

JA Beltran, G Del Rio, CA Brizuela - Computational and structural …, 2020 - Elsevier
Antimicrobial peptides (AMPs) are a promising alternative to small-molecules-based
antibiotics. These peptides are part of most living organisms' innate defense system. In order …

A computational and statistical framework for screening novel antimicrobial peptides

DP Veltri - 2015 - search.proquest.com
Bacterial resistance to antibiotics continues to be a serious concern worldwide. This has
motivated a strong research focus on naturally-occurring antimicrobial peptides (AMPs) as …

AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest

P Bhadra, J Yan, J Li, S Fong, SWI Siu - Scientific reports, 2018 - nature.com
Antimicrobial peptides (AMPs) are promising candidates in the fight against multidrug-
resistant pathogens owing to AMPs' broad range of activities and low toxicity. Nonetheless …

AI4AMP: an antimicrobial Peptide predictor using physicochemical property-Based encoding method and deep learning

TT Lin, LY Yang, IH Lu, WC Cheng, ZR Hsu, SH Chen… - Msystems, 2021 - Am Soc Microbiol
Antimicrobial peptides (AMPs) are innate immune components that have recently stimulated
considerable interest among drug developers due to their potential as antibiotic substitutes …

Encodings and models for antimicrobial peptide classification for multi-resistant pathogens

S Spänig, D Heider - BioData Mining, 2019 - Springer
Antimicrobial peptides (AMPs) are part of the inherent immune system. In fact, they occur in
almost all organisms including, eg, plants, animals, and humans. Remarkably, they show …

Alignment-free antimicrobial peptide predictors: improving performance by a thorough analysis of the largest available data set

SA Pinacho-Castellanos… - Journal of Chemical …, 2021 - ACS Publications
In the last two decades, a large number of machine-learning-based predictors for the
activities of antimicrobial peptides (AMPs) have been proposed. These predictors differ from …