M. Barahona

This study shows that cellular memory in E. coli enhances chemotactic drift speed in rugged environments by leveraging environmental correlations.

The paper uses graph-based learning to predict mutations affecting protein dynamics, validated by FRET experiments on adenylate kinase.

This paper introduces an edge-based formulation for elastic network models to study mechanical interactions, demonstrating its application to protein systems.

The paper models how finite spatial perception affects search efficiency in motile organisms, showing that it improves transient search performance compared to purely local strategies.

This paper uses bond-to-bond propensity analysis to study allostery and cooperativity in ATCase by analyzing energy propagation through protein structures.