Latest AI and machine learning research in infectious disease for healthcare professionals.
Invasive Candida infections pose a critical health challenge, exacerbated by emerging antifungal resistance. Caenorhabditis elegans (C. elegans) offers a genetically tractable and scalable model for studying Candida pathogenicity, yet conventional viability assays remain labor-intensive, limiting high-throughput applications. In this study, we developed a machine learning-driven worm viability sco...
The escalating crisis of global antimicrobial resistance (AMR) necessitates the discovery of novel antibiotics. Antimicrobial peptides (AMPs), particularly those from under-explored extreme environments, represent a promising therapeutic class. Here, we introduce SEGMA (Structure-aware Extremophile Genome Mining for Antimicrobial peptides), a computational framework that integrates structure infor...
Bacteriophages offer promising alternatives to antibiotics for treating drug-resistant infections and engineering microbiomes, but applications are li...
Avian malaria (genus Plasmodium) is a mosquito-transmitted parasitic disease of birds. It has a wide distribution across the world, infecting more tha...
Gene sets are collections of genes that share a common biological function, process, or component that can be used to get insight into the biological ...
Can standardized chemical stress reveal an ecological “memory” of host origin in plant pathogens? We profiled six coffee-associated Colletotrichum iso...
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...
Signal peptides are short amino acid sequences attached to the N-termini of mature proteins. They play determinant roles in protein expression as well...
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...
Therapeutic antibody design is a complex multi-property optimization problem with substantial promise for improvement with the application of machine-...
Antibodies are central to immune defense and therapeutic design, yet predicting which sequences confer functional activity remains challenging. Deep l...
Yeast replicative lifespan is a crucial part of aging research, yet its quantification remains labor-intensive and time-consuming, particularly when u...
Amino acid mutations may lead to significant changes in the binding affinity of protein complexes, thereby causing a series of cellular dysfunctions. ...
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...
Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influenza, is hindered by the ability of these pathogen...
Antimicrobial resistance poses an urgent and increasing threat to global health. The development of new antimicrobials is crucial. Synthetic copolymer...
Enzyme engineering is central to developing biocatalysts with improved activity and specificity, yet traditional approaches are often limited by the s...