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 …

Improved methods for classification, prediction, and design of antimicrobial peptides

G Wang - Computational peptidology, 2015 - Springer
Peptides with diverse amino acid sequences, structures, and functions are essential players
in biological systems. The construction of well-annotated databases not only facilitates …

[PDF][PDF] Peptides: a package for data mining of antimicrobial peptides

D Osorio, P Rondón-Villarreal, R Torres - Small, 2015 - researchgate.net
Antimicrobial peptides (AMP) are a promising source of antibiotics with a broad spectrum
activity against bacteria and low incidence of developing resistance. The mechanism by …

A review on antimicrobial peptides databases and the computational tools

S Ramazi, N Mohammadi, A Allahverdi, E Khalili… - Database, 2022 - academic.oup.com
Abstract Antimicrobial Peptides (AMPs) have been considered as potential alternatives for
infection therapeutics since antibiotic resistance has been raised as a global problem. The …

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 …

Binary response models for recognition of antimicrobial peptides

EG Randou, D Veltri, A Shehu - Proceedings of the International …, 2013 - dl.acm.org
There is now great urgency in developing new antibiotics to combat bacterial resistance.
Recent attention has turned to naturally-occurring antimicrobial peptides (AMPs) that can …

[HTML][HTML] 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 …

Prediction and rational design of antimicrobial peptides

WF Porto, ON Silva, OL Franco - Protein structure, 2012 - books.google.com
In recent decades the activity of conventional antibiotics against pathogenic bacteria has
decreased due to the development of resistance. This phenomenon has generated the …

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 …

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 …