During his doctoral studies, Yuryev reported the identification of a family of proteins linking
transcription with
post-transcriptional mRNA processing using the
yeast two-hybrid screening method. As a postdoctoral researcher, he demonstrated the utility of yeast two-hybrid screens for identifying functional, isoform-specific
protein–protein interactions, including evidence for the
mitochondrial import of the A-RAF kinase. Following the completion of the
human genome sequencing, Yuryev shifted his research focus toward
Bioinformatics and
Computational biology. He developed algorithms for
PCR primer design,
biological pathway and
network analysis, as well as
natural language processing (NLP) approaches for constructing
biomedical knowledge graphs. By integrating pathways reconstructed from biomedical knowledge graphs with
orthologous mapping, he contributed to the reconstruction of metabolic and signaling systems in multiple organisms whose genomes were sequenced by
Maqsudul Alam and collaborators. Yuryev has authored more than 50 peer-reviewed scientific articles, as well as books and book chapters, covering topics including in silico pathway analysis,
transcription factors, computational biology, and targeted
cancer research. Among his publications is the article “Automatic pathway building in biological association networks,” published in
BMC Bioinformatics in 2006, which has been cited in research on
Systems biology and network analysis. His current research focuses on the development of statistical methods for
drug repurposing and indication expansion. This work utilizes the
Elsevier Biology Knowledge Graph to identify potential new therapeutic applications for existing medications. == Selected publications ==