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 …
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 …
in biological systems. The construction of well-annotated databases not only facilitates …
[PDF][PDF] Peptides: a package for data mining of antimicrobial peptides
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 …
activity against bacteria and low incidence of developing resistance. The mechanism by …
A review on antimicrobial peptides databases and the computational tools
Abstract Antimicrobial Peptides (AMPs) have been considered as potential alternatives for
infection therapeutics since antibiotic resistance has been raised as a global problem. The …
infection therapeutics since antibiotic resistance has been raised as a global problem. The …
ClassAMP: a prediction tool for classification of antimicrobial peptides
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 …
sequence features that contribute to target specificity of AMPs will aid in accelerating drug …
Binary response models for recognition of antimicrobial peptides
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 …
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 …
of infections. Antimicrobial peptides have been demonstrated as a new hope for developing …
Prediction and rational design of antimicrobial peptides
In recent decades the activity of conventional antibiotics against pathogenic bacteria has
decreased due to the development of resistance. This phenomenon has generated the …
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 …
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 …
activities of antimicrobial peptides (AMPs) have been proposed. These predictors differ from …