AIMC Topic: Bacteria
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Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).
International journal of molecular medicine
Jun 6, 2025
The complexity of lung cancer, driven by multifactorial causes such as genetic, environmental and lifestyle factors, underscores the necessity for tailored treatment strategies informed by recent advancements. Studies highlight a significant associat...
Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.
BMC microbiology
Jun 6, 2025
Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemic metabolic and inflammatory disorders where disrupted gut microbiota composition and function (dysbiosis) has been found in multiple studies. Thus, h...
A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.
PloS one
Jun 5, 2025
Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as conducting in-vivo tests at the proteome scale is impractical. Reverse Vaccinology (RV) aids in narrowing down the pool of candidates through computational...
AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.
Accounts of chemical research
Jun 3, 2025
ConspectusThe escalating threat of antimicrobial resistance (AMR) poses a significant global health crisis, potentially surpassing cancer as a leading cause of death by 2050. Traditional antibiotic discovery methods have not kept pace with the rapidl...
Impact of microbial profile integration on machine learning predictions of methane production: synergies and trade-offs with physicochemical parameters.
Bioresource technology
Jun 1, 2025
Microbial sequencing data were rarely integrated into the prediction of methane production using machine learning (ML) models because of high dimensionality and the lack of a systematic way to evaluate the change of insight gained from modelling with...
Single-tooth resolved, whole-mouth prediction of early childhood caries via spatiotemporal variations of plaque microbiota.
Cell host & microbe
May 30, 2025
Early childhood caries (ECC) exhibits tooth specificity, highlighting the need for single-tooth-level prevention. We profiled 2,504 dental plaque microbiota samples from 89 preschoolers across two cohorts, tracking compositional changes with imputed ...
Optimizing phage therapy with artificial intelligence: a perspective.
Frontiers in cellular and infection microbiology
May 27, 2025
Phage therapy is emerging as a promising strategy against the growing threat of antimicrobial resistance, yet phage and bacteria are incredibly diverse and idiosyncratic in their interactions with one another. Clinical applications of phage therapy o...
Risk-reward trade-off during carbon starvation generates dichotomy in motility endurance among marine bacteria.
Nature microbiology
May 26, 2025
Copiotrophic marine bacteria contribute to the control of carbon storage in the ocean by remineralizing organic matter. Motility presents copiotrophs with a risk-reward trade-off: it is highly beneficial in seeking out sparse nutrient hotspots, but e...
TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data.
BMC bioinformatics
May 26, 2025
BACKGROUND: 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis due to its cost-effectiveness and lower data requirements compared to metagenomic whole-genome sequencing (WGS). However, inherent limitations in 16S...
Synergistic potential of halophytes and halophilic/halotolerant plant growth-promoting bacteria in saline soil remediation: Adaptive mechanisms, challenges, and sustainable solutions.
Microbiological research
May 22, 2025
Salinity stress poses significant challenges to agriculture, reducing productivity and limiting arable land by causing ionic and osmotic imbalances in plants, disrupting physiological processes, and leading to soil degradation over time. Halophytes a...
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