A computational and statistical framework for screening novel antimicrobial peptides

DP Veltri - 2015 - search.proquest.com
Bacterial resistance to antibiotics continues to be a serious concern worldwide. This has
motivated a strong research focus on naturally-occurring antimicrobial peptides (AMPs) as …

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 …

Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides

J Xu, F Li, A Leier, D Xiang, HH Shen… - Briefings in …, 2021 - academic.oup.com
Antimicrobial peptides (AMPs) are a unique and diverse group of molecules that play a
crucial role in a myriad of biological processes and cellular functions. AMP-related studies …

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 …

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 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 …

Antimicrobial peptides: an update on classifications and databases

A Bin Hafeez, X Jiang, PJ Bergen, Y Zhu - International journal of …, 2021 - mdpi.com
Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …

Machine learning for antimicrobial peptide identification and design

F Wan, F Wong, JJ Collins… - Nature Reviews …, 2024 - nature.com
Artificial intelligence (AI) and machine learning (ML) models are being deployed in many
domains of society and have recently reached the field of drug discovery. Given the …

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 …

Novel Antimicrobial Peptide Design Using Motif Match Score Representation

ÜG Söylemez, M Yousef… - IEEE/ACM Transactions …, 2024 - ieeexplore.ieee.org
Antimicrobial peptides (AMPs) have drawn the interest of the researchers since they offer an
alternative to the traditional antibiotics in the fight against antibiotic resistance and they …