Ignacio Enrique Sanchez

The paper develops a method to predict phenotype modulation by analyzing amino acid clustering and epistasis in protein sequences, showing that these factors improve prediction accuracy.

The paper investigates the energy landscape of coupled folding and binding in intrinsically disordered proteins, finding that electrostatic interactions compensate for energetic frustration.

This study investigates protein-RNA condensation kinetics using a viral model, revealing the sequence of events leading to nanocluster formation and coacervate structures.

This paper investigates the kinetic mechanism of p53 condensation and amyloid aggregation, revealing a pathway from coacervates to fibrils and suggesting therapeutic targets for p53-related cancers.