Our lab is interested in understanding the mechanisms of protein-protein interactions at the molecular level, and its implications in the whole system response. We focus on the mitogen-activated protein kinase(MAPKs) signal transduction pathway. MAPKs are a family of serine/threonine kinases that play an essential role in signal transduction by modulating gene transcription in the nucleus in response to changes in the cellular environment. MAPK signaling modules have been conserved throughout evolution, from plants, fungi, nematodes, insects, to mammals. Their ubiquity and versatility raise the issue of how they achieve specific coupling of signal to cellular response. How do the kinases in the cascade along with scaffold protein assembly to transmit the signal? How is the signal modulated by protein-protein interactions? How do MAP kinases achieve specificity by differential recognition between their substrates and regulators? How do unstructured transcription factors recognize their targets? In order to answer these and other questions we apply computational tools that allow us to study MAPKs at the molecular and biology systems level.

We use and develop tools such as: Quantum Mechanics/Molecular Mechanics to study reaction mechanisms, Molecular dynamics to understand protein flexibility, docking methods to describe protein-protein complexes, network modeling to understand the cascade response and structural databases to classify and characterize protein structure.

NOTA: Se Busca Gente

1) Estudiantes de biología para tesis de licenciatura o de doctorado
o Postdocs
Trabajo experimental y teorico en redes de MAPKs.
Modelado de proteínas nativamente desestructuradas.

2) Estudiante de química/física pre y postgrado.
Para trabajar en modelado de reacciones en proteínas. Métodos cuántico clásicos.

3) Estudiante de Computación.
Para trabajar en predicción de complejos proteína-proteína.
Bases de datos estructurales y búsquedas de motivos.
Análisis de estructuras de proteínas en genomas enteros.