Latest AI and machine learning research in bacterial infection for healthcare professionals.
Type VI secretion system effectors target the cell wall, membranes and nucleic acids, leading to the killing of bacteria or impairment of host cell defense mechanisms. Accurate identification of T6SEs will be beneficial to understand the virulence of these bacteria via type VI secretion systems as well as bacterial pathogenesis. Although some traditional machine learning-based and deep learning-ba...
Machine learning has transformed how we predict protein structures and interactions, but its full potential in drug discovery is only beginning to be realized. In this study, we demonstrate that advanced deep learning tools —such as AlphaFold3 and Boltz-1/2— not only predict protein-ligand interactions with high accuracy but can also separate active drug compounds from inactive ones. We present a ...
We describe peptide mapping through Split Antibiotic Resistance Complementation (SpARC-map), a method to identify the probable interface between two i...
The widespread use of antibiotics promotes both resistance and tolerance. While resistance enables bacterial growth in the presence of drugs, toleranc...
Since the clinical introduction of antibiotics in the 1940s, antimicrobial resistance (AMR) has become an increasingly dire threat to global public he...
Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities across colonic regions (ascending, transverse, descending colon) a...
The gut microbiome plays a crucial role in human health, but machine learning applications in this field face significant challenges, including limite...
Accurate detection of mutations within bacterial species is critical for fundamental studies of microbial evolution, reconstructing transmission event...
The escalating crisis of multi-drug resistant bacteria demand a new generation of antibiotics. Glycocin F (GccF), a potent bacteriocin, is a promising...
Plants rely on cell surface immune receptors to detect microbial patterns and initiate effective defense responses. Although the Asteraceae family is ...
Bacteriophages offer promising alternatives to antibiotics for treating drug-resistant infections and engineering microbiomes, but applications are li...
Species identification is a critical task in agriculture, food processing, and health-care. The rapid growth of genomic databases — driven in part by ...
The rise of antimicrobial resistance has rendered many treatments ineffective, posing serious public health challenges. Intracellular infections are p...
The SARS-CoV-2 pandemic saw multiple outbreaks occur over short periods. This was linked to the virus’s high infectivity and rapid mutation rate, whic...
Bacteria from the Pseudomonas genus are omnipresent in air, soil, and water. They have been widely studied for their broad metabolic versatility and p...
CRISPR-associated transposons (CAST) use guide RNAs to direct their transposition and are being harnessed as tools for programmable genome engineering...
Bacterial populations display extraordinary resilience to antibiotic stress, driven by diverse physiological states that allow some cells to persist a...
Antimicrobial resistance poses an urgent and increasing threat to global health. The development of new antimicrobials is crucial. Synthetic copolymer...
Rapid and accurate diagnostics of bacterial infections are necessary for efficient treatment of antibiotic-resistant pathogens. Cultivation-based meth...
The morphology of bacteria is modified by antibiotic stress while also serving to survive the antibiotic. However associating morphological descriptor...