29 citations · 50 across the 12 of their papers we have counts for
4 papers · 1 filter
Towards coevolution-aware ancestral sequence reconstruction
Alya Zeinaty, Leonardo di Bari, Saverio Rossi +3
Ancestral sequence reconstruction (ASR) is a powerful approach for studying molecular evolution and the emergence of protein function. Yet most ASR methods assume that sites evolve…
Fluctuations and the limit of predictability in protein evolution
Saverio Rossi, Leonardo Di Bari, Martin Weigt +1
Protein evolution involves mutations occurring across a wide range of time scales. In analogy with disordered systems in statistical physics, this dynamical heterogeneity suggests…
Emergent time scales of epistasis in protein evolution
Leonardo Di Bari, Matteo Bisardi, Sabrina Cotogno +2
We introduce a data-driven epistatic model of protein evolution, capable of generating evolutionary trajectories spanning very different time scales reaching from individual mutati…
Towards Parsimonious Generative Modeling of RNA Families
Francesco Calvanese, Camille N. Lambert, Philippe Nghe +2
Generative probabilistic models emerge as a new paradigm in data-driven, evolution-informed design of biomolecular sequences. This paper introduces a novel approach, called Edge Ac…