Bacterial Infection

Small-Molecule Inhibitors of the NusB-NusE Protein-Protein Interaction with Antibiotic Activity.

The NusB-NusE protein-protein interaction (PPI) is critical to the formation of stable antitermination complexes required for stable RNA transcription in all bacteria. This PPI is an emerging antibacterial drug target. Pharmacophore-based screening of the mini-Maybridge compound library (56 000 molecules) identified ,'-[1,4-butanediylbis(oxy-4,1-phenylene)]bis(-ethyl)urea as a lead of interest. C...

Mapping quorum sensing onto neural networks to understand collective decision making in heterogeneous microbial communities.

Microbial communities frequently communicate via quorum sensing (QS), where cells produce, secrete, and respond to a threshold level of an autoinducer (AI) molecule, thereby modulating gene expression. However, the biology of QS remains incompletely understood in heterogeneous communities, where variant bacterial strains possess distinct QS systems that produce chemically unique AIs. AI molecules ...

Computerized detection of leukocytes in microscopic leukorrhea images.

PURPOSE: Detection of leukocytes is critical for the routine leukorrhea exam, which is widely used in gynecological examinations. An elevated vaginal ...

1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life.

We present 1,003 reference genomes that were sequenced as part of the Genomic Encyclopedia of Bacteria and Archaea (GEBA) initiative, selected to maxi...

Zinc Oxide-Supported Copper Clusters with High Biocidal Efficacy for and .

Cu clusters on ZnO have been prepared by a simple low-temperature solid-state reaction from their respective acetate precursors. The formation of meta...

Bacterial Virus Ontology; Coordinating across Databases.

Bacterial viruses, also called bacteriophages, display a great genetic diversity and utilize unique processes for infecting and reproducing within a h...

An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.

Over the past decade, analytical approaches based on vibrational spectroscopy, hyperspectral/multispectral imagining and biomimetic sensors started ga...

Simulating the fate of indigenous antibiotic resistant bacteria in a mild slope wastewater polluted stream.

The fate of indigenous surface-water and wastewater antibiotic resistant bacteria in a mild slope stream simulated through a hydraulic channel was inv...

Ascertainment of pharmacological activities of Hook and Roxb used in Bangladesh: An in vitro study.

The present study was cherished to investigate in vitro thrombolytic, membrane stabilizing and antibacterial activities of and . Different types meth...

Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium .

Whereas genomes can be rapidly sequenced, the functions of many genes are incompletely or erroneously annotated because of a lack of experimental evid...

The way to cover prediction for cytotoxicity for all existing nano-sized metal oxides by using neural network method.

The regulatory agencies should fulfil the data gap in toxicity for new chemicals including nano-sized compounds, like metal oxides nanoparticles (MeO ...

An improved method for identification of small non-coding RNAs in bacteria using support vector machine.

Bacterial small non-coding RNAs (sRNAs) are not translated into proteins, but act as functional RNAs. They are involved in diverse biological processe...

Chemical and microbiological characterization of tinctures and microcapsules loaded with Brazilian red propolis extract.

The aim of this study was to characterize tinctures and microcapsules loaded with an ethanol extract of red propolis through chemical, physicochemical...

Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

The immune system has evolved to sense invading pathogens, control infection, and restore tissue integrity. Despite symptomatic variability in patient...

Revealing the inventory of type III effectors in Pantoea agglomerans gall-forming pathovars using draft genome sequences and a machine-learning approach.

Pantoea agglomerans, a widespread epiphytic bacterium, has evolved into a hypersensitive response and pathogenicity (hrp)-dependent and host-specific ...

Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks.

Accurate computational identification of promoters remains a challenge as these key DNA regulatory regions have variable structures composed of functi...

Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial...

Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets.

The ecological effects of accidental or malicious radioactive contamination are insufficiently understood because of the hazards and difficulties asso...

An aptamer-based effective method for highly sensitive detection of chloramphenicol residues in animal-sourced food using real-time fluorescent quantitative PCR.

Chloramphenicol (CAP) residues can not only harm human health through entering food chain, but also cause the spreading of drug-resistant bacteria, th...

Pathogen biofilm formation on cantaloupe surface and its impact on the antibacterial effect of lauroyl arginate ethyl.

Pathogen biofilm at fruit surface may pose a particular risk to food safety. In this study, the biofilms of Listeria monocytogenes V7 and Salmonella e...