Bacterial Infection

Antimicrobial peptides in malaria and tuberculosis management: a systematic review of emerging evidence.

AMPs (Antimicrobial peptides) are small molecules that are crucial components of biological activities, viz wound healing, angiogenesis, antimicrobial activity, immune regulation, and exhibit anticancer properties. This systematic review summarizes the origin, sequence, efficacy, and structure-activity mechanisms of AMPs against tuberculosis and malaria, the world's leading killer infectious disea...

State-of-the-art of surface-enhanced Raman spectroscopy for pathogenic bacterial identification.

Rapid and accurate identification of pathogenic bacteria is essential for safeguarding public health. However, existing approaches, including conventional culture methods, microscopic examination, modern molecular biology techniques, and sophisticated instrumental analyses, still suffer from lengthy processing times, operational complexity, high costs, and susceptibility to interference. Such limi...

Single-Bacterium Screening of Oral Pathogens by Terahertz Near-Field Nanoscopy Derived Multiparameter.

Accurate identification of oral bacteria is essential for assessing oral and systemic diseases. Conventional phenotyping methods and molecular biology...

Using Machine Learning to Design Effective Antimicrobial Dosing Regimens.

Resistant bacterial infections remain a major clinical challenge, often necessitating combination therapy, namely use of two or more antibiotics with ...

Predicting Staphylococcus aureus spa Types Using MALDI-TOF Mass Spectrometry and Machine Learning.

Staphylococcus aureus is a leading cause of intramammary infections (IMI) in Canadian dairy herds and is frequently isolated from both clinical and su...

Genomic and evolutionary factors influencing the prediction accuracy of optimal growth temperature in prokaryotes.

Bacteria and archaea have evolved diverse genomic adaptations to thrive across various temperatures. These adaptations include genome sequence optimiz...

Deep learning-based high-information-content graph representation of early stage bacterial biofilms.

Bacterial biofilms are complex, spatially organized microbial communities that exhibit enhanced resistance to antibiotics and contribute to chronic in...

Medium-aware multi-task learning for robust bacterial identification using Raman spectroscopy.

Raman spectroscopy has demonstrated significant potential for rapid bacterial identification; however, bacterial spectral signatures are frequently co...

Protein and genomic language models uncover the unexplored diversity of bacterial immunity.

The bacterial pangenome contains a vast diversity of antiphage systems, whose overall extent is still unknown. In this study, we developed complementa...

DefensePredictor: A machine learning model to discover prokaryotic immune systems.

Antiphage defense systems protect bacteria from viral infection and have inspired important biotechnologies such as CRISPR-Cas9 while also revealing t...

Bulk Microarray and Single-Cell Transcriptomic Analyses Reveal Bacterial Lipopolysaccharide-Related Biomarkers in Sepsis.

Sepsis, a life-threatening condition triggered by dysregulated host response to infection, poses significant global health challenges. Identifying lip...

Transformer-based super-resolution lung CT images improve visualization of multiple diseases.

OBJECTIVES: To assess the Transformer-based Swin2SR model for super-resolution (SR) enhancement of lung CT images and its clinical potential. METHODS:...

Digital holographic microscopy: use of artificial intelligence to enable rapid blood culture Gram stain digitization and interpretation.

Gram staining is one of the most commonly performed tests in the clinical microbiology laboratory. Results are used to both guide empiric antimicrobia...

Structural and dynamic characterization of MirA-like xenosiderophore transporters in Fusarium: in silico modeling and in vitro validation.

Fusarium, an omnipresent fungus is known for its pathogenic potential. Pathogenic fungi like all other organisms need iron and are known to produce si...

Adaptive acoustic streaming microbial system for oxytetracycline removal.

Microalgae-bacteria symbiosis has been demonstrated to possess the ability to remove antibiotics from water. Appropriate granulation strategies enhanc...

Deciphering pharmaceutical resistance in sulfur-driven autotrophic denitrification: an integrated multi-omics artificial intelligence-driven structural biology approach.

Sulfur-driven autotrophic denitrification (SdAD) is a promising low-carbon technology for nitrogen removal; however, its stability and adaptive mechan...

Integrating Molecular Dynamics and Deep Learning to Elucidate Conformational Plasticity Underlying the Reduced Activity of Glycocin F.

The escalating crisis of multidrug-resistant bacteria demands a new generation of antibiotics. Glycocin F (GccF), a potent bacteriocin, is a promising...

Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease.

The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on conditions like gestational hypertension (GH) and g...

Harnessing the gut microbiota in extra-intestinal cancers: from causal evidence to immunotherapy strategies.

The gut microbiota (GM) has emerged as a key modulator of cancer development and therapeutic response beyond the gastrointestinal tract. In extra-inte...

Nanogels for the targeted delivery of antibiotic and antimicrobial drugs.

Nanoparticle-based drug delivery systems represent a promising platform for advancing biomedical therapies. Among them, nanogels - three‑dimensional, ...