activity
20162019
most citedArchitecture and Co-Evolution of Allosteric Materials

131 citations · 215 across the 5 of their papers we have counts for

collaborators

5 papers

physics.bio-ph2019★ 22 cited

Mechanics of allostery: contrasting the induced fit and population shift scenarios

Riccardo Ravasio, Solange Flatt, Le Yan +3

In allosteric proteins, binding a ligand can affect function at a distant location, for example by changing the binding affinity of a substrate at the active site. The induced fit…

cond-mat.dis-nn2019★ 4 cited

Maximum-energy records in glassy energy landscapes

Ivailo Hartarsky, Marco Baity-Jesi, Riccardo Ravasio +2

We study the evolution of the maximum energy $E_\max(t)$ reached between time and time in the dynamics of simple models with glassy energy landscapes, in instant quenches f…

q-bio.QM2018★ 23 cited

Direct Coupling Analysis of Epistasis in Allosteric Materials

Barbara Bravi, Riccardo Ravasio, Carolina Brito +1

In allosteric proteins, the binding of a ligand modifies function at a distant active site. Such allosteric pathways can be used as target for drug design, generating considerable…

physics.bio-ph2017★ 35 cited

Principles for optimal cooperativity in allosteric materials

Le Yan, Riccardo Ravasio, Carolina Brito +1

Allosteric proteins transmit a mechanical signal induced by binding a ligand. However, understanding the nature of the information transmitted and the architectures optimizing such…

physics.bio-ph2016★ 131 cited

Architecture and Co-Evolution of Allosteric Materials

Le Yan, Riccardo Ravasio, Carolina Brito +1

We introduce a numerical scheme to evolve functional materials that can accomplish a specified mechanical task. In this scheme, the number of solutions, their spatial architectures…