Bacterial Infection

Random Forest Modeling to Predict Small Molecule Accumulation in Gram-Negative Bacteria.

Despite extensive efforts over the past ∼60 years to discover new classes of Gram-negative-active antibiotics, the development pipeline remains relatively dry. These failures can be largely ascribed to the complexity of the Gram-negative membranes and an inadequate understanding of physicochemical properties associated with compound permeation, efflux evasion, and overall accumulation in Gram-nega...

Mechanistic study on comorbidities of kidney stones and sepsis using transcriptome sequencing combined with single-cell spatial transcriptome sequencing.

Kidney stones and sepsis have a complex pathological association. Urinary obstruction and infection caused by kidney stones can easily induce sepsis, leading to increased mortality and poor prognosis. However, the molecular mechanism underlying their comorbidity remains unclear, and there is a lack of specific biomarkers for early prediction and targeted therapy. This study aims to explore the mol...

PAN4, an AI-designed host-directed immunomodulatory peptide, promotes PGRP-SC1a-associated intestinal immune homeostasis in Drosophila melanogaster.

We identify PAN4 (GAYTFKIRRK), an AI-designed host-directed immunomodulatory peptide, as a modulator of intestinal immune homeostasis in Drosophila me...

Disentangling factors affecting bacterial transcriptional regulatory network inference.

The rapid growth of bacterial gene expression databases has enabled computational inference of transcriptional regulatory networks (TRNs), yet it rema...

Leptospira-host interactions: advancing next-generation vaccines and diagnostics.

SUMMARYLeptospirosis, a widespread zoonotic disease caused by pathogenic Leptospira species, remains a major public health challenge, particularly in ...

Revisiting biofilm quantification: crystal violet assay and the emerging role of hyperspectral imaging.

Bacterial biofilms are major contributors to persistent and chronic infections. Conventional methods used to quantify biofilms, such as the crystal vi...

Engineered E. coli swarming for binary and analog input recording.

Many bacterial species form self-organized macroscale patterns through swarming. Despite its extensive genetic tractability, Escherichia coli remains ...

Construction and validation of a phenotypic prediction model for bacterial gentamicin resistance using deep learning with gene sequences.

The emergence of bacterial resistance to antibiotics poses a significant threat to human health; thus, there is an urgent need for new strategies in u...

Rapid diagnostics innovations for urinary tract infections using molecular biology, artificial intelligence and antimicrobial resistance surveillance: a comprehensive review.

Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurr...

A pH-Calibrated Multi-Analyte MXene Aerogel Electrochemical Platform Assisted by Interpretable Machine Learning for CSF-Based Prescreening of Postoperative Bacterial Meningitis.

Rapid and reliable prescreening and early risk stratification of postoperative meningitis (PNM) remain challenging because clinical symptoms are nonsp...

Hybrid Macrocyclic Peptides - Synthetic Strategies to Diversify and Cyclize Peptide Libraries in Phage Display Selections.

Macrocyclic peptides (MPs) are privileged molecular architectures in drug discovery that combine the target selectivity of biologics with the pharmaco...

Non-destructive label-free automated identification of bacterial colonies at the species level directly on agar media using digital holography and convolutional neural network algorithms.

UNLABELLED: This study aimed to establish a thorough proof of concept for an innovative, fully automated, non-destructive, and label-free approach for...

A Eu/Tb-Functionalized Hydrogen-Bonded Organic Framework for Ratiometric Sensing of Anthrax Biomarker and Integrated Intelligent Bactericidal Efficacy Evaluation.

Luminescent materials with stimulus-responsive and discriminable optical outputs are highly desirable for advanced on-site sensing and biosecurity mon...

Bionic Magnetic Nanorobots Combined with AI-Assisted Microscopic Imaging for Argonaute-Powered Multiplexed Foodborne Pathogens Detection.

Multiplexed and ultrasensitive identification of foodborne pathogens is crucial for food safety. However, conventional methods are limited by complex ...

Machine learning integration of tissue-specific metagenomic signatures for colorectal cancer diagnosis.

Colorectal cancer (CRC) represents a significant global health burden. Leveraging machine learning (ML) with metagenomic and tissue-specific data pres...

Data-driven exploration of electronic nose technology to differentiate bacteria in blood cultures under biofilm-promoting conditions.

Biofilms are a major cause of delayed wound healing, yet current biofilm identification methods are limited by invasiveness, processing times, or spec...

Machine learning-based analysis of drug resistance mutations in Mycobacterium tuberculosis.

Tuberculosis is a deadly airborne disease caused by Mycobacterium tuberculosis. Drug-resistant tuberculosis presents significant challenges for treatm...

Human gut flagellome profiling using FlaPro reveals TLR5-related phenotype-specific alterations in IBD.

Flagellin, the structural protein of bacterial flagella, activates the innate immune receptor Toll-like receptor 5 (TLR5). However, the ability of dif...

Integrating plant growth-promoting rhizobacteria and machine learning for drought tolerance assessment in green bean (Phaseolus vulgaris L.).

Drought stress is one of the most critical constraints limiting crop productivity worldwide, particularly under increasing water scarcity driven by cl...

Pepholin, a bacteriophage holin-derived antimicrobial peptide with membrane-disruptive activity and therapeutic efficacy in MDR Pseudomonas aeruginosa burn wounds.

The emergence of multidrug-resistant (MDR) Pseudomonas aeruginosa poses a serious threat to burn wound healing, necessitating the development of alter...