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 …

[HTML][HTML] Prediction of antimicrobial peptides based on sequence alignment and feature selection methods

P Wang, L Hu, G Liu, N Jiang, X Chen, J Xu, W Zheng… - PloS one, 2011 - journals.plos.org
Antimicrobial peptides (AMPs) represent a class of natural peptides that form a part of the
innate immune system, and this kind of 'nature's antibiotics' is quite promising for solving the …

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 …

[HTML][HTML] Recent trends in antimicrobial peptide prediction using machine learning techniques

Y Shah, D Sehgal, JK Valadi - Bioinformation, 2017 - ncbi.nlm.nih.gov
The importance to develop effective alternatives to known antibiotics due to increased
microbial resistance is gaining momentum in recent years. Therefore, it is of interest to …

[HTML][HTML] 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 …

Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides

MA Wani, P Garg, KK Roy - Medical & Biological Engineering & Computing, 2021 - Springer
The ubiquitous antimicrobial peptides (AMPs), with a broad range of antimicrobial activities,
represent a great promise for combating the multi-drug resistant infections. In this study …

AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning

H Lv, K Yan, Y Guo, Q Zou, AEL Hesham… - Computers in Biology and …, 2022 - Elsevier
Antimicrobial peptides (AMPs) are important for the human immune system and are currently
applied in clinical trials. AMPs have been received much attention for accurate recognition …

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 …

A cumulative strategy to predict and characterize antimicrobial peptides (AMPs) from protein database

G Ravichandran, V Kumaresan, P Bhatt… - International Journal of …, 2017 - Springer
Antimicrobial peptides (AMPs) are indivisible part of the innate immune system in
invertebrates. AMPs have been proven to have crucial role with a wide range of biological …

Predictive model of linear antimicrobial peptides active against gram-negative bacteria

B Vishnepolsky, A Gabrielian, A Rosenthal… - Journal of chemical …, 2018 - ACS Publications
Antimicrobial peptides (AMPs) have been identified as a potential new class of anti-
infectives for drug development. There are a lot of computational methods that try to predict …