Protein evolution, splicing, dynamics and interactions

I develop computational approaches to help the design of biological intervention improving human health. I have contributed to methods for predicting protein interfaces and binding affinities, for identifying protein cellular partners and describe the protein « sociability », for predicting conformational transitions, for predicting mutational outcomes at large scale, and for rationalizing the propagation of mutational effects across protein structures. Moreover, I have discovered a new family of inhibitors of the anthrax toxin. I am currently in charge of the MASSIV project (ANR-17-CE12-0009, 2018-2021) assessing the impact of alternative splicing on protein structures in evolution. We have developed a couple of efficient methods to assess the evolutionary conservation of splice variants, trace their origin and predict their 3D structures. More details on the Analytical Genomics team website and on the MASSIV repo.


Meet-U: educating through research immersion

I have been actively involved in the organization of Meet-U for the past 5 years. This collaborative course between universities aims at bridging the gap between teaching and research. It mimics the set up of collaborative research projects and takes advantage of the most popular tools for collaborative work and of cloud computing. The students, grouped in teams of 4-5, present their work in front of their "scientific peers" in a colloquium organized at the end of the semester. Check out our paper in PLOS CB. In 2021, we have started an international implementation of the course, between members of the 4EU+ alliance. See also this post.