Evgenii I. Olekhnovich

MetaFX extracts genomic features from whole-genome metagenomic data and classifies samples, improving disease prediction accuracy by 17% in human gut samples.

This study shows that Bacteroides fragilis outer membrane vesicles reduce intestinal inflammation and alter gut microbiota composition in a murine model of colitis.

This study identifies that systemic metabolic depletion of the gut microbiome reduces immunotherapy effectiveness in melanoma by altering cobalamin and amino acid metabolism.

The paper identifies reproducible stool metagenomic biomarkers associated with positive melanoma immunotherapy outcomes across multiple studies.

The paper introduces RECAST, a computational tool to analyze metagenomic data from FMT studies, identifying colonizing and non-colonizing microbes and their associations with resistance genes.

VERA simulates antibiotic resistance transmission between pathogens and gut microbiota, showing nonlinear dependencies and exponential disease spread with pathogen resistance.

This study uses whole genome sequencing to analyze gut microbiota changes after Helicobacter pylori eradication therapy, finding reduced alpha-diversity, shifts in metabolic potential, and increased antibiotic resistance genes.

MetaCherchant analyzes metagenomic data to reconstruct the genomic environment of antibiotic resistance genes, revealing potential transmission mechanisms in gut microbiota.