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 …
microbiomes. Though concealed from the naked eye, microbiomes govern and influence …
Antimicrobial peptides—Mechanisms of action, antimicrobial effects and clinical applications
The growing emergence of antimicrobial resistance represents a global problem that not
only influences healthcare systems but also has grave implications for political and …
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
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 …
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 …
promising options for replacing traditional antibiotics to treat bacterial infections, but …
Deep learning tools to accelerate antibiotic discovery
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 …
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 …
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
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 …
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 …
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 …
antibiotics due to their ability to disturb bacterial membranes and/or their intracellular …
Machine learning for antimicrobial peptide identification and design
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 …
domains of society and have recently reached the field of drug discovery. Given the …