Subject
We create computational tools to understand biological processes, but these aspects reinforce one another, the development of novel methods is guided by specific biological questions which in turn benefit from methodological advances. 
We have found mutational patterns in tumors that help to propose better therapies. The dependencies between mutations allow us to suggest to the health personnel, current drug combinations to make treatment more effective. Likewise, the prediction of the total mutational burden of a tumor through small experimental data allowed us to correlate it with the patient's response to immunotherapy. Both discoveries are in line with contributing to the well-being of cancer patients
We are currently focused on the study of a particular type of proteins that separate into phases within cells, which are essential for its correct functioning. Its dysfunction is directly related to neurodegenerative diseases such as Alzheimer's, Huntington's, Amyotrophic Lateral Sclerosis (ALS), among others, and cancer.

Approach
Our scientific work concentrates in the fields of bioinformatics and computational biology applied to understand complex biologic systems. With this aim we developed methods, tools and databases which application help solving biologically relevant questions in different contexts. We put special emphasis on protein structure, function, dynamics and evolution. In addition, we especially analyze protein mutations and their relationship with diseases.

Advances
In the line of basic research, we contribute several aspects to protein knowledge and also we facilitate the analysis of biological data to the scientific community by creating free and public servers and databases on the internet.