Thinking on the construction of antimicrobial peptide databases: Powerful tools for the molecular design and screening

K Zhang, D Teng, R Mao, N Yang, Y Hao… - International Journal of …, 2023 - mdpi.com
With the accelerating growth of antimicrobial resistance (AMR), there is an urgent need for
new antimicrobial agents with low or no AMR. Antimicrobial peptides (AMPs) have been …

Antimicrobial peptide prediction using ensemble learning algorithm

N Zarayeneh, Z Hanifeloo - arXiv preprint arXiv:2005.01714, 2020 - arxiv.org
Recently, Antimicrobial peptides (AMPs) have been an area of interest in the researches, as
the first line of defense against the bacteria. They are raising attention as an efficient way of …

Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification

G Zhong, H Liu, L Deng - Interdisciplinary Sciences: Computational Life …, 2024 - Springer
The emergence of antibiotic-resistant microbes raises a pressing demand for novel
alternative treatments. One promising alternative is the antimicrobial peptides (AMPs), a …

Evaluating Different Descriptors for Model Design of Antimicrobial Peptides with Enhanced Activity Toward P. aeruginosa

H Jenssen, T Lejon, K Hilpert, CD Fjell… - Chemical biology & …, 2007 - Wiley Online Library
The number of isolated drug‐resistant pathogenic microbes has increased drastically over
the past decades, demonstrating an urgent need for new therapeutic interventions …

Antimicrobial peptides: An alternative to traditional antibiotics

S Ji, F An, T Zhang, M Lou, J Guo, K Liu, Y Zhu… - European Journal of …, 2023 - Elsevier
As antibiotic-resistant bacteria and genes continue to emerge, the identification of effective
alternatives to traditional antibiotics has become a pressing issue. Antimicrobial peptides …

Antimicrobial peptides designed by computational analysis of proteomes

D Monsalve, A Mesa, LM Mira, C Mera, S Orduz… - Antonie van …, 2024 - Springer
Antimicrobial peptides (AMPs) are promising cationic and amphipathic molecules to fight
antibiotic resistance. To search for novel AMPs, we applied a computational strategy to …

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 …

Empirical comparison of web-based antimicrobial peptide prediction tools

MN Gabere, WS Noble - Bioinformatics, 2017 - academic.oup.com
Abstract Motivation Antimicrobial peptides (AMPs) are innate immune molecules that exhibit
activities against a range of microbes, including bacteria, fungi, viruses and protozoa …

CalcAMP: a new machine learning model for the accurate prediction of antimicrobial activity of peptides

C Bournez, M Riool, L de Boer, RA Cordfunke… - Antibiotics, 2023 - mdpi.com
To combat infection by microorganisms host organisms possess a primary arsenal via the
innate immune system. Among them are defense peptides with the ability to target a wide …

[PDF][PDF] Physicochemical determinants of antimicrobial activity

D Veltri, A Shehu - Intl. Conf. on Bioinf. and Comp. Biol.(BICoB), 2013 - academia.edu
Antimicrobial peptides (AMPs) are lately receiving significant attention as targets for
antibacterial drug research. While many machine learning techniques are shown effective …