Sílvia Osuna received her PhD in 2010 from the University of Girona (UdG) at the Institut de Química Computacional (IQC). In 2010, she moved to the group of Prof. Houk at the University of California, Los Angeles (UCLA). Since then, Sílvia has worked in computational design of enzymes of medical and pharmaceutical interest. Sílvia has more than 65 research publications, and been awarded the Young Researcher award by the Royal Spanish Society of Chemistry (RSEQ 20116), the Research award by the Fundación Princesa de Girona (FPdGi 2016- Science category), and the 2017 Young Investigator Award of EuCheMS Organic Division. Her group is funded by the European Research Council project - Starting Grant (ERC-2015- STG-679001, NetMoDEzyme) and the Catalan government project for emergent research teams (2017-SGR-1701).
Sílvia’s research lies at the interface between computational chemistry and biology. Her research focuses on the study of biochemical processes mainly related to enzyme catalysis. Her lab is developing new computational tools for predicting which amino acid changes are required to the enzyme structure for allowing novel function, enhancing a promiscuous side reaction, or expanding its substrate scope. Her goal is to enable the routine computational design of proficient enzymes to boost their use in industry for the synthesis of pharmaceutically relevant targets. She also applies the developed methodologies to the study of the recognition and assembly process of biomolecules with carbon-based materials.
Key wordscomputational chemical biology, computational enzyme design, computational chemistry