Cluster V

Modeling and Computational Biology

The application of computational modeling techniques has been key to unveil fundamental laws governing complex biological phenomena. This cluster relies on using advanced knowledge from biology, ecology, chemistry, sociology, mathematics and physics to develop computational models to study phenomena occurring at multiple scales. To do so, we combine computational algorithms with massive data available from diverse sources, ranging from public repositories of social data and biological databases to data generated in-house from environmental prospections (metagenomes), laboratory scale microbial cultures, and in vitro experiments.

Research Lines

Complex networks, neuromorphic computing and biophysics of macromolecules

Use of a mixture of molecular modeling and simulation techniques to explore biophysical processes occurring in transmembrane channels.

Evolutionary and functional genomics of extremophiles

Use of massive databases that are publicly available and evolutionary approaches to address the inventory of genes and mechanisms involved in the survival of extremophiles.