Anatoly Sorokin

The paper develops computational models to explain synaptic protein distribution patterns in neurons by integrating molecular transport and local synaptic demand mechanisms across different ages and cell types.

The paper introduces FBA-PRCC for analyzing bacterial physiology in complex media, identifying new interaction modes and showing sensitivity coefficients provide additional insights beyond standard methods.

BioNAR is a Bioconductor package for analyzing biological networks to quantify and rank vertices based on topology and clustering, enabling discovery of disease and function-enriched subcomplexes.

The paper introduces SBGN bricks and their ontology to provide structured semantics for recurring molecular network concepts, enabling better annotation and construction of molecular maps.

The paper tracks microbial community changes in bioelectrochemical systems over 12 weeks, showing how certain genera like Geobacter dominate and adapt to electrode potentials.