123 citations · 269 across the 6 of their papers we have counts for
6 papers
Efficient generative modeling of protein sequences using simple autoregressive models
Jeanne Trinquier, Guido Uguzzoni, Andrea Pagnani +2
Generative models emerge as promising candidates for novel sequence-data driven approaches to protein design, and for the extraction of structural and functional information about…
Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by Direct Coupling Analysis
Guido Uguzzoni, Shalini John Lovis, Francesco Oteri +3
Proteins have evolved to perform diverse cellular functions, from serving as reaction catalysts to coordinating cellular propagation and development. Frequently, proteins do not ex…
Collective behaviours: from biochemical kinetics to electronic circuits
Elena Agliari, Adriano Barra, Raffaella Burioni +2
In this work we aim to highlight a close analogy between cooperative behaviors in chemical kinetics and cybernetics; this is realized by using a common language for their descripti…
Reaction networks as systems for resource allocation: A variational principle for their non-equilibrium steady states
Andrea De Martino, Daniele De Martino, Roberto Mulet +1
Within a fully microscopic setting, we derive a variational principle for the non-equilibrium steady states of chemical reaction networks, valid for time-scales over which chemical…
The true reinforced random walk with bias
Elena Agliari, Raffaella Burioni, Guido Uguzzoni
We consider a self-attracting random walk in dimension d=1, in presence of a field of strength s, which biases the walker toward a target site. We focus on the dynamic case (true r…
Analogue neural networks on correlated random graphs
Elena Agliari, Lorenzo Asti, Adriano Barra +2
We consider a generalization of the Hopfield model, where the entries of patterns are Gaussian and diluted. We focus on the high-storage regime and we investigate analytically the…