Sergei Kotelnikov

The paper identifies phenotype-specific signaling networks in glioblastoma cells, showing that invasive spread is linked to DNA damage response and AKT-mTOR activation, with 14-3-3 proteins mediating phosphorylation and predictive phospho-site signatures for patient survival.

The paper introduces a chemical-genetic platform called SLIP to identify actionable sites on effector proteins for targeted protein degradation.

This study enhances AlphaFold for predicting phosphopeptide-protein complex structures, achieving higher accuracy in lDDT scores for peptides.

The paper maps EMT transitions through multi-omic profiling, identifies key regulatory factors, and reveals discordance between molecular layers in human mammary epithelial cells.