M. Barahona

Cellular memory enhances bacterial chemotactic navigation in rugged environments

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

Unsupervised graph-based learning predicts mutations that alter protein dynamics

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

An edge-based formulation of elastic network models

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

Collective search with finite perception: transient dynamics and search efficiency

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.

Precision identification and prediction of high mortality phenotypes and disease progression pathways in severe malaria without requiring longitudinal data

Allostery and cooperativity in multimeric proteins: bond-to-bond propensities in ATCase

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