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Nature Communications|October 5, 2021
Efficient generative modeling of protein sequences using simple autoregressive modelsJeanne Trinquier, Guido Uguzzoni, Andrea Pagnani, et al.Nucleic Acids Research|September 3, 2025
Integrating experimental feedback improves generative models for biological sequencesFrancesco Calvanese, Giovanni Peinetti, Polina Pavlinova, et al.Molecular Biology and Evolution|October 9, 2015
Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1Matteo Figliuzzi, Hervé Jacquier, Alexander Schug, et al.Journal for Immunotherapy of Cancer|November 2, 2022
Both APRIL and antibody-fragment-based CAR T cells for myeloma induce BCMA downmodulation by trogocytosis and internalizationNicolas Camviel, Benita Wolf, Giancarlo Croce, et al.Reports on Progress in Physics. Physical Society (Great Britain)|November 10, 2017
Inverse statistical physics of protein sequences: a key issues reviewSimona Cocco, Christoph Feinauer, Matteo Figliuzzi, et al.Plos One|May 17, 2011
Dissecting the specificity of protein-protein interaction in bacterial two-component signaling: orphans and crosstalksAndrea Procaccini, Bryan Lunt, Hendrik Szurmant, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 16, 2013
Improved contact prediction in proteins: using pseudolikelihoods to infer Potts modelsMagnus Ekeberg, Cecilia Lövkvist, Yueheng Lan, et al.Nucleic Acids Research|October 26, 2017
APPRIS 2017: principal isoforms for multiple gene setsJose Manuel Rodriguez, Juan Rodriguez-Rivas, Tomás Di Domenico, et al.Physical Review. E|April 16, 2020
Statistical physics of interacting proteins: Impact of dataset size and quality assessed in synthetic sequencesCarlos A Gandarilla-Pérez, Pierre Mergny, Martin Weigt, et al.Nucleic Acids Research|April 25, 2024
Towards parsimonious generative modeling of RNA familiesFrancesco Calvanese, Camille N Lambert, Philippe Nghe, et al.Pageof 8