Alexei Degterev

This paper introduces a computational framework to study kinase conformational dynamics by integrating AlphaFold, machine learning, and physics-based simulations to explore metastable states beyond traditional binary classifications.

Positional scanning peptide arrays profile substrate sequence specificities across 303 human serine/threonine kinases, enabling computational kinase-substrate annotation and signaling pathway inference across the human phosphoproteome.