G. Valdes-Garcia

This study investigates the thermodynamics of liquid-liquid phase separation in short polymer systems, showing that condensation depends on polymer length and concentration, with a negative free energy indicating stability.

The paper introduces a residue-based coarse-grained model, COCOMO, to simulate concentration-dependent phase separation of peptides and RNA, showing it predicts experimental data and is computationally efficient.

This paper introduces Trp-Cys quenching experiments combined with simulations to study transient protein interactions under crowded conditions, showing they can distinguish interaction types and preferences.

This paper shows that machine learning can generate protein conformational ensembles without simulation, using a transformer-based GAN trained on simulation data.