Oleksandr Sorokin

The paper introduces DIFFRACT, a framework that uses local fractal dimension changes in protein interaction networks to detect functional reorganization, showing its utility in identifying novel biological roles in RAVER1-deficient cells.

The paper maps the human protein interactome onto a hyperbolic representation to analyze how intrinsic disorder and structure-mediated interactions influence network organization and molecular functions.

CENTRA uses gene co-occurrence networks from literature to identify functional master regulators by analyzing centrality and fractality in topic-specific contexts.