4 citations · 4 across the 3 of their papers we have counts for
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q-bio.BM2026
Spectral Diffusion for Protein Dynamics
Hew Phipps, Matteo Cagiada, Santiago D. Villalba +1
Generative models present a promising alternative to expensive molecular dynamics for computationally querying protein dynamics, yet many existing approaches treat ensembles as uno…
q-bio.BM2020
Prediction of native contacts in proteins from an out--of--equilibrium coevolutionary process
D. Oriani, M. Cagiada, G. Tiana
The analysis of coevolution of residues in homologous proteins is a powerful tool to predict their native conformation. The standard framework in which coevolutionary analysis is u…
q-bio.BM2019★ 4 cited
Statistical mechanical properties of sequence space determine the efficiency of the various algorithms to predict interaction energies and native contacts from protein coevolution
G. Franco, M. Cagiada, G. Bussi +1
Studying evolutionary correlations in alignments of homologous sequences by means of an inverse Potts model has proven useful to obtain residue-residue contact energies and to pred…