Showing results (41-50 of 71) with videos related to

Sort By:
Pageof 8
Plos Computational Biology|March 30, 2023
Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteinsCarlos A Gandarilla-Pérez, Sergio Pinilla, Anne-Florence Bitbol, et al.
BMC Bioinformatics|July 1, 2010
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approachMarc Bailly-Bechet, Alfredo Braunstein, Andrea Pagnani, et al.
Bioinformatics (Oxford, England)|July 3, 2023
Generating interacting protein sequences using domain-to-domain translationBarthelemy Meynard-Piganeau, Caterina Fabbri, Martin Weigt, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2025
adabmDCA 2.0-A Flexible but Easy-to-Use Package for Direct Coupling AnalysisLorenzo Rosset, Roberto Netti, Anna Paola Muntoni, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 19, 2009
High-resolution protein complexes from integrating genomic information with molecular simulationAlexander Schug, Martin Weigt, José N Onuchic, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 26, 2024
Emergent time scales of epistasis in protein evolutionLeonardo Di Bari, Matteo Bisardi, Sabrina Cotogno, et al.
Physical Review. E|September 16, 2021
Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence familiesPierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 14, 2012
Genomics-aided structure predictionJoanna I Sułkowska, Faruck Morcos, Martin Weigt, et al.
The Journal of Chemical Physics|November 10, 2016
Direct coevolutionary couplings reflect biophysical residue interactions in proteinsAlice Coucke, Guido Uguzzoni, Francesco Oteri, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 5, 2024
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopesBarthelemy Meynard-Piganeau, Christoph Feinauer, Martin Weigt, et al.
Pageof 8