output
20112026
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.

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Showing 2020Show all

4 papers · 1 filter

cond-mat.dis-nn2020★ 25 cited

The complexity of protein interactions unravelled from structural disorder

Beatriz Seoane, Alessandra Carbone

The idea that structural disorder might be a novel mechanism of protein interaction is widespread in the Literature, although the number of statistically significant structural stu…

q-bio.BM2020★ 30 cited

Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families

Pierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki +2

Boltzmann machines (BM) are widely used as generative models. For example, pairwise Potts models (PM), which are instances of the BM class, provide accurate statistical models of f…

q-bio.QM2020★ 20 cited

Aligning biological sequences by exploiting residue conservation and coevolution

Anna Paola Muntoni, Andrea Pagnani, Martin Weigt +1

Sequences of nucleotides (for DNA and RNA) or amino acids (for proteins) are central objects in biology. Among the most important computational problems is that of sequence alignme…

math.AP2020

Dynamics of neural networks with elapsed time model and learning processes

Delphine Salort, Nicolas Torres

We introduce and study a new model of interacting neural networks, incorporating the spatial dimension (e.g. position of neurons across the cortex) and some learning processes. The…