Luis Fernando Cofas‐Vargas

The paper optimizes the contact map in GoMartini 3 by integrating dynamic contact information from AA-MD simulations, improving conformational sampling and representation in biomolecular assemblies.

This study uses machine learning potentials to explore RNA dimer conformations, showing improved accuracy over classical models.

This study compares the mechanical stability of antibody and nanobody interactions with SARS-CoV-2 variants using nanomechanical simulations.

This paper introduces an enhanced G[o]Martini model that improves protein dynamics simulation and addresses inaccuracies in the Martini protein model through diverse case studies.