Leveraging artificial intelligence in the fight against infectious diseases

F Wong, C de la Fuente-Nunez, JJ Collins - Science, 2023 - science.org
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …

Antimicrobial peptides, conventional antibiotics, and their synergistic utility for the treatment of drug‐resistant infections

Y Zhu, W Hao, X Wang, J Ouyang… - Medicinal Research …, 2022 - Wiley Online Library
Antimicrobial peptides (AMPs), also known as host defense peptides (HDPs), are important
effector immune defense molecules in multicellular organisms. AMPs exert their …

Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences

J Huang, Y Xu, Y Xue, Y Huang, X Li, X Chen… - Nature Biomedical …, 2023 - nature.com
Systematically identifying functional peptides is difficult owing to the vast combinatorial
space of peptide sequences. Here we report a machine-learning pipeline that mines the …

Bacterial resistance to antibacterial agents: Mechanisms, control strategies, and implications for global health

T Li, Z Wang, J Guo, C de la Fuente-Nunez… - Science of The Total …, 2023 - Elsevier
The spread of bacterial drug resistance has posed a severe threat to public health globally.
Here, we cover bacterial resistance to current antibacterial drugs, including traditional herbal …

Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning

JRMA Maasch, MDT Torres, MCR Melo… - Cell Host & Microbe, 2023 - cell.com
Molecular de-extinction could offer avenues for drug discovery by reintroducing bioactive
molecules that are no longer encoded by extant organisms. To prospect for antimicrobial …

Antibiotic resistant bacteria: current situation and treatment options to accelerate the development of a new antimicrobial arsenal

A Tarín-Pelló, B Suay-García… - Expert Review of Anti …, 2022 - Taylor & Francis
Introduction Antibiotic resistance is one of the biggest public health threats worldwide.
Currently, antibiotic-resistant bacteria kill 700,000 people every year. These data represent …

[HTML][HTML] Deep generative models for peptide design

F Wan, D Kontogiorgos-Heintz… - Digital …, 2022 - pubs.rsc.org
Computers can already be programmed for superhuman pattern recognition of images and
text. For machines to discover novel molecules, they must first be trained to sort through the …

Conditional antimicrobial peptide therapeutics

C Ngambenjawong, LW Chan, HE Fleming… - ACS nano, 2022 - ACS Publications
Antimicrobial peptides (AMPs) constitute a promising class of alternatives to antibiotics to
curb antimicrobial resistance. Nonetheless, their utility as a systemic agent is hampered by …

Antibiotic discovery in the artificial intelligence era

T Lluka, JM Stokes - Annals of the New York Academy of …, 2023 - Wiley Online Library
As the global burden of antibiotic resistance continues to grow, creative approaches to
antibiotic discovery are needed to accelerate the development of novel medicines. A rapidly …

Synthetic molecular evolution of antimicrobial peptides

CH Chen, T Bepler, K Pepper, D Fu, TK Lu - Current opinion in …, 2022 - Elsevier
Highlights•Various peptide design methods have facilitated peptide–drug
development.•Only a few peptide therapeutics have entered the antibiotic market in the past …