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 …

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 …

Advanced delivery systems for peptide antibiotics

A Cesaro, S Lin, N Pardi… - Advanced drug delivery …, 2023 - Elsevier
Antimicrobial peptides (AMPs) hold promise as alternatives to traditional antibiotics for
preventing and treating multidrug-resistant infections. Although they have potent …

Antibiotic failure: Beyond antimicrobial resistance

C de la Fuente-Nunez, A Cesaro… - Drug Resistance Updates, 2023 - Elsevier
Despite significant progress in antibiotic discovery, millions of lives are lost annually to
infections. Surprisingly, the failure of antimicrobial treatments to effectively eliminate …

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 …

BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences

JA Valeri, LR Soenksen, KM Collins, P Ramesh, G Cai… - Cell Systems, 2023 - cell.com
The design choices underlying machine-learning (ML) models present important barriers to
entry for many biologists who aim to incorporate ML in their research. Automated machine …

ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information

S Basith, NT Pham, M Song, G Lee… - Computers in Biology and …, 2023 - Elsevier
Diabetes mellitus has become a major public health concern associated with high mortality
and reduced life expectancy and can cause blindness, heart attacks, kidney failure, lower …

Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era

L Chang, A Mondal, B Singh… - Wiley …, 2024 - Wiley Online Library
Peptide‐based drugs offer high specificity, potency, and selectivity. However, their inherent
flexibility and differences in conformational preferences between their free and bound states …

Advancements in peptide-based antimicrobials: A possible option for emerging drug-resistant infections

N Yadav, VS Chauhan - Advances in Colloid and Interface Science, 2024 - Elsevier
In recent years, multidrug-resistant pathogenic microorganisms (MDROs) have emerged as
a severe threat to human health, exhibiting robust resistance to traditional antibiotics. This …

Recombinant production of antimicrobial peptides in plants

F Nazarian-Firouzabadi, MDT Torres… - Biotechnology …, 2024 - Elsevier
Classical plant breeding methods are limited in their ability to confer disease resistance on
plants. However, in recent years, advancements in molecular breeding and biotechnological …