Bacterial Infection

Combating New Delhi metallo-beta-lactamase-1 (NDM-1): an integrated review of inhibitor development and next-generation therapeutic platforms.

New Delhi metallo-β-lactamase-1 (NDM-1), which has emerged globally, exhibits resistance to almost all β-lactam antibiotics, including carbapenems, posing a major challenge to modern antibiotic therapy. Deep sequencing has revealed the evolution of several new NDM variants (some of the variants are more thermostable than NDM-1) due to mutations that increase their zinc-binding and catalytic effici...

Programmable design of synthetic plant immune receptors for pathogen protein recognition.

The limited diversity and recognition scope of natural plant immune receptors impede resistance breeding against rapidly evolving pathogens. Here, we report the programmable design of synthetic plant immune receptors (SPIRs). De novo-designed binding modules targeting pathogen proteins were grafted into the integrated decoy domain of a plant immune receptor. SPIRs recognized proteins derived from ...

Ecological Filtering by Tuber Compartments Shapes Stable Core Microbiomes That Underpin Potato Plant Growth Across Environments.

Harnessing plant microbiomes for sustainable agriculture requires understanding not only whether they can boost crop performance, but also how ecologi...

Free energy perturbation and machine learning-assisted identification of novel molecules for the Mycobacterium tuberculosis KasA protein: a fragment-based drug design approach.

KasA is an essential enzyme of Mycobacterium tuberculosis (Mtb). It plays a critical role in synthesizing long-chain mycolic acids, the major componen...

Induction and Enhancement of Bacteriocin Production (Review).

Conventionally, bacteriocins are produced by microorganisms on complex substrates, released as semi-purified preparations or crude fermentates. These ...

Identification of Bacteria and Viruses by Pyrolysis-Gas Chromatography-Ion Mobility Spectrometry.

Rapid and reliable detection of biological agents is crucial in both military and civilian contexts. Here, we present a promising field-deployable app...

Multiobjective learning and design of bacteriophage specificity.

Proteins are often optimized for single functions during design and engineering without the consideration of other functionalities that may interfere ...

Redundancy-aware AI-guided discovery and experimental validation of antimicrobial peptides for infected wound treatment.

Artificial intelligence (AI) is accelerating antimicrobial peptide (AMP) discovery, but prediction-centered workflows often overlook dataset redundanc...

A genomic catalog of Earth's bacterial and archaeal symbionts.

Microbial symbiosis drives the functional and phylogenomic diversification of life on Earth yet remains underexplored because of culturing challenges....

Antibiotic Resistance in Helicobacter pylori: Pathogenic Mechanisms and Eradication Barriers.

Antibiotic resistance in Helicobacter pylori is an important factor in the ineffectiveness of eradication regimens. The rate of resistance is not cons...

Wave-driven resuspension as the dominant environmental predictor of enterococci at Chicago beaches.

Predicting fecal indicator bacteria (FIB) to protect public health at Chicago beaches remains a significant challenge due to complex, site-specific en...

MicroRNAs as novel therapeutics against multidrug-resistant ESKAPE pathogens: mechanisms, challenges, and future directions.

BACKGROUND: Multidrug-resistant (MDR) ESKAPE pathogens, including Enterococcus faecium, S. aureus, Klebsiella pneumoniae, Acinetobacter baumannii, P. ...

Challenges and opportunities in type III secretion system effector prediction.

Type III secretion system effectors (T3SEs) are small bacterial proteins with big biological roles. They act as central molecular mediators of interac...

Enhanced classification and identification of bacterial and viral microorganisms by integration of MALDI-TOF mass spectrometry with artificial intelligence.

The accurate and rapid identification of bacterial pathogens is essential in clinical setups and medical biodefense. Matrix-Assisted Laser Desorption ...

Prognostic factors and predictive modeling of in-hospital mortality among MDRO-positive inpatients: a retrospective cohort and GBD MICROBE study.

Existing studies on prognostic prediction for multidrug-resistant organisms (MDROs) are limited by single-model designs, incomplete consideration of w...

Artificial Intelligence-Empowered Single-Cell Phenotyping for Rapid, Automated Pathogen Diagnostics.

Accurate bacterial identification and antimicrobial susceptibility testing (AST) are essential for timely clinical decision-making. Conventional diagn...

Smart-Responsive Antibacterial Fibers: Mechanisms, Fabrication, and Biomedical Applications.

The escalating prevalence of multidrug-resistant bacterial infections presents a grave global health challenge, highlighting the limitations of tradit...

Integrated evaluation of rapid diagnostic testing, genotypic-phenotypic resistance profiling, and AI-Assisted prediction models for antimicrobial stewardship and clinical outcomes in a resource-limited setting.

INTRODUCTION: Antimicrobial resistance (AMR) remains a major global health concern, necessitating timely and accurate diagnostic approaches to guide a...

Use of machine learning to detect Escherichia coli in drinking water in Bangladesh.

Escherichia coli (E. coli) is a key indicator of fecal contamination in freshwater and can signal the presence of other harmful bacteria and viruses. ...

Research progress of AI assisted nano-SERS technology in rapid identification of multi species oral pathogenic biofilms.

Complex multispecies microbial communities that are oral pathogenic biofilms are linked to significant oral infections, such as dental caries, periodo...