output
20102026
most citedDirect-coupling analysis of residue co-evolution captures native contacts across many protein families

1.6k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

4 papers · 1 filter

q-bio.QM2021

adabmDCA: Adaptive Boltzmann machine learning for biological sequences

Anna Paola Muntoni, Andrea Pagnani, Martin Weigt +1

Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families. They are…

q-bio.PE2021★ 7 cited

Path-integral solution of MacArthur's resource-competition model for large ecosystems with random species-resources couplings

A. R. Batista-Tomas, Andrea De Martino, Roberto Mulet

We solve MacArthur's resource-competition model with random species-resource couplings in the `thermodynamic' limit of infinitely many species and resources using dynamical path-in…

q-bio.MN2021★ 12 cited

Relationship between fitness and heterogeneity in exponentially growing microbial populations

Anna Paola Muntoni, Alfredo Braunstein, Andrea Pagnani +2

Despite major environmental and genetic differences, microbial metabolic networks are known to generate consistent physiological outcomes across vastly different organisms. This re…

q-bio.BM2021★ 110 cited

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…