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Nucleic Acids Research|October 1, 2015
Direct-Coupling Analysis of nucleotide coevolution facilitates RNA secondary and tertiary structure predictionEleonora De Leonardis, Benjamin Lutz, Sebastian Ratz, et al.Cell Systems|January 5, 2023
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopesDavid Gfeller, Julien Schmidt, Giancarlo Croce, et al.Nature Communications|August 22, 2025
Exploring the space of self-reproducing ribozymes using generative modelsCamille N Lambert, Vaitea Opuu, Francesco Calvanese, et al.Proceedings of the National Academy of Sciences of the United States of America|October 27, 2017
Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteriaAlejandro Couce, Larissa Viraphong Caudwell, Christoph Feinauer, et al.Nature Communications|June 8, 2018
The evolution of the temporal program of genome replicationNicolas Agier, Stéphane Delmas, Qing Zhang, et al.Proceedings of the National Academy of Sciences of the United States of America|November 23, 2011
Direct-coupling analysis of residue coevolution captures native contacts across many protein familiesFaruck Morcos, Andrea Pagnani, Bryan Lunt, et al.Science (New York, N.Y.)|July 25, 2020
An evolution-based model for designing chorismate mutase enzymesWilliam P Russ, Matteo Figliuzzi, Christian Stocker, et al.Immunity|April 6, 2023
Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopesJulien Racle, Philippe Guillaume, Julien Schmidt, et al.Plos Computational Biology|December 25, 2013
Perturbation biology: inferring signaling networks in cellular systemsEvan J Molinelli, Anil Korkut, Weiqing Wang, et al.Science Advances|June 11, 2025
Phage display enables machine learning discovery of cancer antigen-specific TCRsGiancarlo Croce, Rachid Lani, Delphine Tardivon, et al.Pageof 8