Javier Abel Menéndez

This paper develops a mathematical framework to predict epigenetic tipping points under chromatin modifier competition by analyzing metabolic cofactor sensitivity and early warning signals.

This paper develops a computational model to predict effective combinations of epigenetic drugs for cancer treatment by analyzing bivalent chromatin states and their impact on cell heterogeneity.

This paper introduces a multiscale model of epigenetic heterogeneity to study the kinetic routes of pathological cell fate reprogramming and identifies strategies to control the transition between pluripotent and differentiated states.