29 citations · 46 across the 10 of their papers we have counts for
3 papers · 1 filter
From Scarce Functional Labels to Label-Aware Generation in Homologous Protein Families
Lorenzo Rosset, Martin Weigt, Francesco Zamponi
Accurately annotating and controlling protein function from sequence data remains a major challenge in protein engineering, especially when functional labels are scarce within larg…
Integrating experimental feedback improves generative models for biological sequences
Francesco Calvanese, Giovanni Peinetti, Polina Pavlinova +2
Generative probabilistic models have shown promise in designing artificial RNA and protein sequences but often suffer from high rates of false positives, where sequences predicted…
adabmDCA 2.0 -- a flexible but easy-to-use package for Direct Coupling Analysis
Lorenzo Rosset, Roberto Netti, Anna Paola Muntoni +2
In this methods article, we provide a flexible but easy-to-use implementation of Direct Coupling Analysis (DCA) based on Boltzmann machine learning, together with a tutorial on how…