Leveraging artificial intelligence in the fight against infectious diseases
Despite advances in molecular biology, genetics, computation, and medicinal chemistry,
infectious disease remains an ominous threat to public health. Addressing the challenges …
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
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 …
Here, we cover bacterial resistance to current antibacterial drugs, including traditional herbal …
Advanced delivery systems for peptide antibiotics
Antimicrobial peptides (AMPs) hold promise as alternatives to traditional antibiotics for
preventing and treating multidrug-resistant infections. Although they have potent …
preventing and treating multidrug-resistant infections. Although they have potent …
Antibiotic failure: Beyond antimicrobial resistance
Despite significant progress in antibiotic discovery, millions of lives are lost annually to
infections. Surprisingly, the failure of antimicrobial treatments to effectively eliminate …
infections. Surprisingly, the failure of antimicrobial treatments to effectively eliminate …
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 …
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences
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 …
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
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 …
and reduced life expectancy and can cause blindness, heart attacks, kidney failure, lower …
Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era
Peptide‐based drugs offer high specificity, potency, and selectivity. However, their inherent
flexibility and differences in conformational preferences between their free and bound states …
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
In recent years, multidrug-resistant pathogenic microorganisms (MDROs) have emerged as
a severe threat to human health, exhibiting robust resistance to traditional antibiotics. This …
a severe threat to human health, exhibiting robust resistance to traditional antibiotics. This …
Recombinant production of antimicrobial peptides in plants
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 …
plants. However, in recent years, advancements in molecular breeding and biotechnological …