Martin Weigt

ResearcherID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Escherichia Coli

Regulatory T Cells

Machine Learning

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

PLoS computational biology

Nature communications

Nucleic acids research

This page only lists publications with an associated author ORCID identifier.

Publications

Francesco Calvanese, Camille N Lambert, Philippe Nghe, Francesco Zamponi, Martin Weigt
Towards parsimonious generative modeling of RNA families. Nucleic acids research 52 (10) (2024)
Barthelemy Meynard-Piganeau, Christoph Feinauer, Martin Weigt, Aleksandra M Walczak, Thierry Mora
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes. Proceedings of the National Academy of Sciences of the United States of America 121 (24) (2024)
Francesco Calvanese, Camille N Lambert, Philippe Nghe, Francesco Zamponi, Martin Weigt
Towards parsimonious generative modeling of RNA families. Nucleic acids research (2024)
Barthelemy Meynard-Piganeau, Christoph Feinauer, Martin Weigt, Aleksandra M Walczak, Thierry Mora
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes. Proceedings of the National Academy of Sciences of the United States of America 121 (24) (2024)
Francesco Calvanese, Camille N Lambert, Philippe Nghe, Francesco Zamponi, Martin Weigt
Towards parsimonious generative modeling of RNA families. Nucleic acids research 52 (10) (2024)
Barthelemy Meynard-Piganeau, Christoph Feinauer, Martin Weigt, Aleksandra M Walczak, Thierry Mora
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes. Proceedings of the National Academy of Sciences of the United States of America 121 (24) (2024)
Francesco Calvanese, Camille N Lambert, Philippe Nghe, Francesco Zamponi, Martin Weigt
Towards parsimonious generative modeling of RNA families. Nucleic acids research 52 (10) (2024)
Carlos A Gandarilla-Pérez, Sergio Pinilla, Anne-Florence Bitbol, Martin Weigt
Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins. PLoS computational biology 19 (3) (2023)
Lucile Vigué, Giancarlo Croce, Marie Petitjean, Etienne Ruppé, Olivier Tenaillon, Martin Weigt
Deciphering polymorphism in 61,157 Escherichia coli genomes via epistatic sequence landscapes. Nature communications 13 (1) (2022)
Juan Rodriguez-Rivas, Giancarlo Croce, Maureen Muscat, Martin Weigt
Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes. Proceedings of the National Academy of Sciences of the United States of America 119 (4) (2022)
Jeanne Trinquier, Guido Uguzzoni, Andrea Pagnani, Francesco Zamponi, Martin Weigt
Author Correction: Efficient generative modeling of protein sequences using simple autoregressive models. Nature communications 13 (1) (2022)
Edwin Rodríguez Horta, Martin Weigt
On the effect of phylogenetic correlations in coevolution-based contact prediction in proteins. PLoS computational biology 17 (5) (2021)
Jeanne Trinquier, Guido Uguzzoni, Andrea Pagnani, Francesco Zamponi, Martin Weigt
Efficient generative modeling of protein sequences using simple autoregressive models. Nature communications 12 (1) (2021)
Janice M Reimer, Maximilian Eivaskhani, Ingrid Harb, Alba Guarné, Martin Weigt, T Martin Schmeing
Structures of a dimodular nonribosomal peptide synthetase reveal conformational flexibility. Science (New York, N.Y.) 366 (6466) (2020)
Maureen Muscat, Giancarlo Croce, Edoardo Sarti, Martin Weigt
FilterDCA: Interpretable supervised contact prediction using inter-domain coevolution. PLoS computational biology 16 (10) (2020)
William P Russ, Matteo Figliuzzi, Christian Stocker, Pierre Barrat-Charlaix, Michael Socolich, Peter Kast, Donald Hilvert, Remi Monasson, Simona Cocco, Martin Weigt, Rama Ranganathan
An evolution-based model for designing chorismate mutase enzymes. Science (New York, N.Y.) 369 (6502) (2020)
Giancarlo Croce, Thomas Gueudré, Maria Virginia Ruiz Cuevas, Victoria Keidel, Matteo Figliuzzi, Hendrik Szurmant, Martin Weigt
A multi-scale coevolutionary approach to predict interactions between protein domains. PLoS computational biology 15 (10) (2019)
Guillaume Marmier, Martin Weigt, Anne-Florence Bitbol
Phylogenetic correlations can suffice to infer protein partners from sequences. PLoS computational biology 15 (10) (2019)
Nicolas Agier, Stéphane Delmas, Qing Zhang, Aubin Fleiss, Yan Jaszczyszyn, Erwin van Dijk, Claude Thermes, Martin Weigt, Marco Cosentino Lagomarsino, Gilles Fischer
The evolution of the temporal program of genome replication. Nature communications 9 (1) (2018)
Alejandro Couce, Larissa Viraphong Caudwell, Christoph Feinauer, Thomas Hindré, Jean-Paul Feugeas, Martin Weigt, Richard E Lenski, Dominique Schneider, Olivier Tenaillon
Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria. Proceedings of the National Academy of Sciences of the United States of America 114 (43) (2017)