UGUZZONI, GUIDO

UGUZZONI, GUIDO  

Dipartimento Scienza Applicata e Tecnologia  

048243  

Mostra records
Risultati 1 - 6 di 6 (tempo di esecuzione: 0.013 secondi).
Citazione Data di pubblicazione Autori File
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).pdfmsaa204.pdfmsaa204.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