Antimicrobial peptides: from design to clinical application

C Zhang, M Yang - Antibiotics, 2022 - mdpi.com
Infection of multidrug-resistant (MDR) bacteria, such as methicillin-resistant Staphylococcus
aureus (MRSA), carbapenem-resistant Enterobacteriaceae (CRE), and extended-spectrum …

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 …

Identification of antimicrobial peptides from the human gut microbiome using deep learning

Y Ma, Z Guo, B Xia, Y Zhang, X Liu, Y Yu, N Tang… - Nature …, 2022 - nature.com
The human gut microbiome encodes a large variety of antimicrobial peptides (AMPs), but
the short lengths of AMPs pose a challenge for computational prediction. Here we combined …

Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning

J Yan, J Cai, B Zhang, Y Wang, DF Wong, SWI Siu - Antibiotics, 2022 - mdpi.com
Antimicrobial resistance has become a critical global health problem due to the abuse of
conventional antibiotics and the rise of multi-drug-resistant microbes. Antimicrobial peptides …

Machine learning prediction of antimicrobial peptides

G Wang, II Vaisman, ML van Hoek - Computational peptide science …, 2022 - Springer
Antibiotic resistance constitutes a global threat and could lead to a future pandemic. One
strategy is to develop a new generation of antimicrobials. Naturally occurring antimicrobial …

Accelerating the discovery and design of antimicrobial peptides with artificial intelligence

MC Aguilera-Puga, NL Cancelarich, MM Marani… - … drug discovery and …, 2023 - Springer
Peptides modulate many processes of human physiology targeting ion channels, protein
receptors, or enzymes. They represent valuable starting points for the development of new …

Accelerating bioactive peptide discovery via mutual information-based meta-learning

W He, Y Jiang, J Jin, Z Li, J Zhao… - Briefings in …, 2022 - academic.oup.com
Recently, machine learning methods have been developed to identify various peptide bio-
activities. However, due to the lack of experimentally validated peptides, machine learning …

[HTML][HTML] Design methods for antimicrobial peptides with improved performance

J Mwangi, PM Kamau, RC Thuku, R Lai - Zoological Research, 2023 - ncbi.nlm.nih.gov
The recalcitrance of pathogens to traditional antibiotics has made treating and eradicating
bacterial infections more difficult. In this regard, developing new antimicrobial agents to …

[HTML][HTML] Protein language models and machine learning facilitate the identification of antimicrobial peptides

D Medina-Ortiz, S Contreras, D Fernández… - International Journal of …, 2024 - mdpi.com
Peptides are bioactive molecules whose functional versatility in living organisms has led to
successful applications in diverse fields. In recent years, the amount of data describing …

BaPreS: a software tool for predicting bacteriocins using an optimal set of features

S Akhter, JH Miller - BMC bioinformatics, 2023 - Springer
Background Antibiotic resistance is a major public health concern around the globe. As a
result, researchers always look for new compounds to develop new antibiotic drugs for …