UGUZZONI, GUIDO
UGUZZONI, GUIDO
Dipartimento Scienza Applicata e Tecnologia
048243
Inference of annealed protein fitness landscapes with AnnealDCA
2024 Sesta, Luca; Pagnani, Andrea; Fernandez-de-Cossio-Diaz, Jorge; Uguzzoni, Guido
Unsupervised modeling of mutational landscapes of adeno-associated viruses viability
2024 DE LEONARDIS, Matteo; Fernandez-de-Cossio-Diaz, Jorge; Uguzzoni, Guido; Pagnani, Andrea
AMaLa: Analysis of Directed Evolution Experiments via Annealed Mutational Approximated Landscape
2021 Sesta, Luca; Uguzzoni, Guido; Fernandez-de-Cossio-Diaz, Jorge; Pagnani, Andrea
Efficient generative modeling of protein sequences using simple autoregressive models
2021 Trinquier, Jeanne; Uguzzoni, Guido; Pagnani, Andrea; Zamponi, Francesco; Weigt, Martin
Unsupervised inference of protein fitness landscape from deep mutational scan
2021 Fernandez-de-Cossio-Diaz, Jorge; Uguzzoni, Guido; Pagnani, Andrea
Reaction networks as systems for resource allocation: A variational principle for their non-equilibrium steady states
2012 de Martino, A.; de Martino, D.; Mulet, R.; Uguzzoni, G.
Citazione | Data di pubblicazione | Autori | File |
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Inference of annealed protein fitness landscapes with AnnealDCA / Sesta, Luca; Pagnani, Andrea; Fernandez-de-Cossio-Diaz, Jorge; Uguzzoni, Guido. - In: PLOS COMPUTATIONAL BIOLOGY. - ISSN 1553-7358. - ELETTRONICO. - 20:2(2024). [10.1371/journal.pcbi.1011812] | 1-gen-2024 | Sesta, LucaPagnani, AndreaFernandez-de-Cossio-Diaz, JorgeUguzzoni, Guido | journal.pcbi.1011812.pdf |
Unsupervised modeling of mutational landscapes of adeno-associated viruses viability / DE LEONARDIS, Matteo; Fernandez-de-Cossio-Diaz, Jorge; Uguzzoni, Guido; Pagnani, Andrea. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 25:(2024). [10.1186/s12859-024-05823-5] | 1-gen-2024 | Matteo De LeonardisJorge Fernandez-de-Cossio-DiazGuido UguzzoniAndrea Pagnani | s12859-024-05823-5-1.pdf |
AMaLa: Analysis of Directed Evolution Experiments via Annealed Mutational Approximated Landscape / Sesta, Luca; Uguzzoni, Guido; Fernandez-de-Cossio-Diaz, Jorge; Pagnani, Andrea. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 22:20(2021), p. 10908. [10.3390/ijms222010908] | 1-gen-2021 | Luca SestaGuido UguzzoniAndrea Pagnani + | ijms-22-10908.pdf |
Efficient generative modeling of protein sequences using simple autoregressive models / Trinquier, Jeanne; Uguzzoni, Guido; Pagnani, Andrea; Zamponi, Francesco; Weigt, Martin. - In: NATURE COMMUNICATIONS. - ISSN 2041-1723. - ELETTRONICO. - 12:(2021). [10.1038/s41467-021-25756-4] | 1-gen-2021 | Guido UguzzoniAndrea Pagnani + | s41467-021-25756-4.pdf |
Unsupervised inference of protein fitness landscape from deep mutational scan / Fernandez-de-Cossio-Diaz, Jorge; Uguzzoni, Guido; Pagnani, Andrea. - In: MOLECULAR BIOLOGY AND EVOLUTION. - ISSN 0737-4038. - ELETTRONICO. - 38:1(2021), pp. 318-328. [10.1093/molbev/msaa204] | 1-gen-2021 | Uguzzoni, GuidoPagnani, Andrea + | 2020.03.18.996595v1.full (1).pdf; msaa204.pdf; msaa204.pdf |
Reaction networks as systems for resource allocation: A variational principle for their non-equilibrium steady states / de Martino, A.; de Martino, D.; Mulet, R.; Uguzzoni, G.. - In: PLOS ONE. - ISSN 1932-6203. - 7:7(2012), p. e39849. [10.1371/journal.pone.0039849] | 1-gen-2012 | de Martino A.Uguzzoni G. + | document.pdf |