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 …

Characterization and identification of antimicrobial peptides with different functional activities

CR Chung, TR Kuo, LC Wu, TY Lee… - Briefings in …, 2020 - academic.oup.com
In recent years, antimicrobial peptides (AMPs) have become an emerging area of focus
when developing therapeutics hot spot residues of proteins are dominant against infections …

ClassAMP: a prediction tool for classification of antimicrobial peptides

S Joseph, S Karnik, P Nilawe… - IEEE/ACM …, 2012 - ieeexplore.ieee.org
Antimicrobial peptides (AMPs) are gaining popularity as anti-infective agents. Information on
sequence features that contribute to target specificity of AMPs will aid in accelerating drug …

Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?

CR García-Jacas, LA García-González… - Briefings in …, 2022 - academic.oup.com
Antimicrobial peptides (AMPs) have received a great deal of attention given their potential to
become a plausible option to fight multi-drug resistant bacteria as well as other pathogens …

Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction

B Vishnepolsky, M Grigolava… - Briefings in …, 2022 - academic.oup.com
The evolution of drug-resistant pathogenic microbial species is a major global health
concern. Naturally occurring, antimicrobial peptides (AMPs) are considered promising …

Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile

A Jan, M Hayat, M Wedyan, R Alturki… - Computers in Biology …, 2022 - Elsevier
Antimicrobial peptides (AMPs) are gaining a lot of attention as cutting-edge treatments for
many infectious disorders. The effectiveness of AMPs against bacteria, fungi, and viruses …

Improving recognition of antimicrobial peptides and target selectivity through machine learning and genetic programming

D Veltri, U Kamath, A Shehu - IEEE/ACM transactions on …, 2015 - ieeexplore.ieee.org
Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-
occurring antimicrobial peptides (AMPs) as templates for novel drug design. While …

ABP-Finder: a tool to identify antibacterial peptides and the Gram-staining type of targeted bacteria

YB Ruiz-Blanco, G Agüero-Chapin, S Romero-Molina… - Antibiotics, 2022 - mdpi.com
Multi-drug resistance in bacteria is a major health problem worldwide. To overcome this
issue, new approaches allowing for the identification and development of antibacterial …

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 …

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 …