Anastasia N. Sveshnikova

This paper introduces SubNetX, a computational algorithm that extracts and assembles balanced reaction subnetworks for producing target biochemicals, and demonstrates its application to eight secondary metabolites and one non-natural chemical.

BridgIT+ predicts protein-reaction associations by leveraging enzyme promiscuity and sequence profiles, outperforming existing methods on E. coli and predicted reactions.

ARBRE predicts biosynthetic pathways to industrially important aromatic compounds using a comprehensive reaction network and computational tools.

The paper evaluates drug repositioning approaches by analyzing 100 drugs, 200 targets, and 300 indications, finding that disease and target-centric methods dominate over drug-centric ones.