WEIGT Martin

Professor
Laboratoire de Biologie Computationnelle et Quantitative LBCQ (UMR 7238)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Mathematics, Computer Science & Robotics
Skills
Data analysis, Deep learning, Generative models, Interpretability, Machine learning, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Responsibilities

Deputy director LCQB; team leader "Statistical genomics and biological Physics"; co-responsible for speciality "Bioinformatics & Modeling" of the Master in Computer Science

Awards

1998: Research Prize of the Faculty of Sciences, Otto-von-Guericke University, Magdeburg (Germany)

Selected publications

- Rodriguez-Rivas, J., Croce, G., Muscat, M. and Weigt, M., 2022. Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes. Proceedings of the National Academy of Sciences, 119(4).

- Trinquier, J., Uguzzoni, G., Pagnani, A., Zamponi, F. and Weigt, M., 2021. Efficient generative modeling of protein sequences using simple autoregressive models. Nature communications, 12(1), pp.1-11.

- Russ, W.P., Figliuzzi, M., Stocker, C., Barrat-Charlaix, P., Socolich, M., Kast, P., Hilvert, D., Monasson, R., Cocco, S., Weigt*, M. and Ranganathan*, R., 2020. An evolution-based model for designing chorismate mutase enzymes. Science, 369(6502), pp.440-445. (* corr authors)

- Muscat M, Croce G, Sarti E, Weigt M (2020) FilterDCA: Interpretable supervised contact prediction using inter-domain coevolution. PLoS Comput Biol 16(10): e1007621.

- Figliuzzi, M., Barrat-Charlaix, P. and Weigt, M., 2018. How pairwise coevolutionary models capture the collective residue variability in proteins?. Molecular biology and evolution, 35(4), pp.1018-1027.

International collaborations

University of Chicago (USA),

Politecnico Torino (Italy),

Universidad de la Habana (Cuba),

KIT Karlsruhe (Germany),

University of British Columbia (Canada),

Harvard University (USA),

University of Lausanne (Switzerland).