Exploring the Molecular World Through Computation
At EspinosaLab, we combine cutting-edge computational methods with fundamental biophysical principles to understand the behavior of biomolecules. Our research spans from protein dynamics to phase separation phenomena.
Lab group
Research Areas
Our lab focuses on understanding complex biological systems through computational approaches.
Molecular dynamics simulations to understand protein folding, stability, and function.
Computational models of biomolecular condensates and liquid-liquid phase separation.
AI-driven approaches for predicting molecular properties and interactions.
Latest News
View AllIntroducing RNA2PS: A Novel Computational Model to Decode RNA Behavior
In April 2026, Dr. Jorge Reñé Espinosa and his research team announced a major scientific advancement with the release of RNA2PS, a cutting-…
Co-Leading the New CRIS Cancer Biophysics Research Unit with Advanced Supercomputing
Dr. Jorge Reñé Espinosa has been appointed as co-Principal Investigator of the newly established CRIS Cancer Biophysics Research Unit, leadi…
Groundbreaking Publication in Science: Unveiling the Molecular Organization of Chromatin Condensates
In a major scientific milestone, Jorge Reñé Espinosa (Ramón y Cajal Researcher at the Universidad Complutense de Madrid) has contributed to…
Recent Publications
View AllRNA2PS: A sequence-specific coarse-grained RNA model linking structure, thermodynamics and phase separation
Andres R Tejedor, Juan Luengo-Marquez, Javier Oller Iscar, Jorge Ramirez Garcia, Alberto Ocaña, Rosana Collepardo-Guevara, Pablo Llombart Gonzalez, Jorge R Espinosa
Computational mapping of antibody-receptor energy landscapes to predict internalization
P Llombart, C Nieto-Jiménez, A Pandiella, A Ocana, JR Espinosa
Water–ice III interfacial free energy: A mold integration study using the TIP4P/Ice model
LF Sedano, JR Espinosa, AR Tejedor, C Vega, EG Noya
Partnerships
We collaborate with and are supported by these institutions and organizations.