output
20112026
most citedDirect-coupling analysis of residue co-evolution captures native contacts across many protein families

1.6k citations

Showing 2016Show all

7 papers · 1 filter

physics.soc-ph2016★ 10 cited

Balancing building and maintenance costs in growing transport networks

Arianna Bottinelli, Remi Louf, Marco Gherardi

The costs associated to the length of links impose unavoidable constraints to the growth of natural and artificial transport networks. When future network developments can not be p…

q-bio.QM2016★ 21 cited

Improving landscape inference by integrating heterogeneous data in the inverse Ising problem

Pierre Barrat-Charlaix, Matteo Figliuzzi, Martin Weigt

The inverse Ising problem and its generalizations to Potts and continuous spin models have recently attracted much attention thanks to their successful applications in the statisti…

physics.soc-ph2016★ 30 cited

Network reconstruction from infection cascades

Alfredo Braunstein, Alessandro Ingrosso, Anna Paola Muntoni

Accessing the network through which a propagation dynamics diffuse is essential for understanding and controlling it. In a few cases, such information is available through direct e…

q-bio.MN2016★ 72 cited

Stochastic timing in gene expression for simple regulatory strategies

Alma Dal Co, Marco Cosentino Lagomarsino, Michele Caselle +1

Timing is essential for many cellular processes, from cellular responses to external stimuli to the cell cycle and circadian clocks. Many of these processes are based on gene expre…

q-bio.CB2016★ 42 cited

Relevant parameters in models of cell division control

Jacopo Grilli, Matteo Osella, Andrew S. Kennard +1

A recent burst of dynamic single-cell growth-division data makes it possible to characterize the stochastic dynamics of cell division control in bacteria. Different modeling framew…

q-bio.QM2016★ 148 cited

Simultaneous identification of specifically interacting paralogs and inter-protein contacts by Direct-Coupling Analysis

Thomas Gueudré, Carlo Baldassi, Marco Zamparo +2

Understanding protein-protein interactions is central to our understanding of almost all complex biological processes. Computational tools exploiting rapidly growing genomic databa…