Machine learning and deep learning applications in microbiome research

R Hernández Medina, S Kutuzova… - ISME …, 2022 - academic.oup.com
The many microbial communities around us form interactive and dynamic ecosystems called
microbiomes. Though concealed from the naked eye, microbiomes govern and influence …

Antimicrobial peptides—Mechanisms of action, antimicrobial effects and clinical applications

J Talapko, T Meštrović, M Juzbašić, M Tomas, S Erić… - Antibiotics, 2022 - mdpi.com
The growing emergence of antimicrobial resistance represents a global problem that not
only influences healthcare systems but also has grave implications for political and …

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities

J Xu, F Li, C Li, X Guo, C Landersdorfer… - Briefings in …, 2023 - academic.oup.com
Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological
processes and have various functional activities against target organisms. Due to the abuse …

Designing antimicrobial peptides using deep learning and molecular dynamic simulations

Q Cao, C Ge, X Wang, PJ Harvey… - Briefings in …, 2023 - academic.oup.com
With the emergence of multidrug-resistant bacteria, antimicrobial peptides (AMPs) offer
promising options for replacing traditional antibiotics to treat bacterial infections, but …

Deep learning tools to accelerate antibiotic discovery

A Cesaro, M Bagheri, M Torres, F Wan… - Expert Opinion on …, 2023 - Taylor & Francis
Introduction As machine learning (ML) and artificial intelligence (AI) expand to many
segments of our society, they are increasingly being used for drug discovery. Recent deep …

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 …

NetTCR-2.1: Lessons and guidance on how to develop models for TCR specificity predictions

A Montemurro, LE Jessen, M Nielsen - Frontiers in immunology, 2022 - frontiersin.org
T cell receptors (TCR) define the specificity of T cells and are responsible for their interaction
with peptide antigen targets presented in complex with major histocompatibility complex …

Artificial intelligence-driven antimicrobial peptide discovery

P Szymczak, E Szczurek - Current Opinion in Structural Biology, 2023 - Elsevier
Antimicrobial peptides (AMPs) emerge as promising agents against antimicrobial resistance,
providing an alternative to conventional antibiotics. Artificial intelligence (AI) revolutionized …

[HTML][HTML] Enhancing Antimicrobial Peptide Activity through Modifications of Charge, Hydrophobicity, and Structure

P Gagat, M Ostrówka, A Duda-Madej… - International Journal of …, 2024 - mdpi.com
Antimicrobial peptides (AMPs) are emerging as a promising alternative to traditional
antibiotics due to their ability to disturb bacterial membranes and/or their intracellular …

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 …