Unknown

Dataset Information

0

Principles for Optimal Cooperativity in Allosteric Materials.


ABSTRACT: Allosteric proteins transmit a mechanical signal induced by binding a ligand. However, understanding the nature of the information transmitted and the architectures optimizing such transmission remains a challenge. Here we show, using an in silico evolution scheme and theoretical arguments, that architectures optimized to be cooperative, which efficiently propagate energy, qualitatively differ from previously investigated materials optimized to propagate strain. Although we observe a large diversity of functioning cooperative architectures (including shear, hinge, and twist designs), they all obey the same principle of displaying a mechanism, i.e., an extended soft mode. We show that its optimal frequency decreases with the spatial extension L of the system as L-d/2, where d is the spatial dimension. For these optimal designs, cooperativity decays logarithmically with L for d = 2 and does not decay for d = 3. Overall, our approach leads to a natural explanation for several observations in allosteric proteins and indicates an experimental path to test if allosteric proteins lie close to optimality.

SUBMITTER: Yan L 

PROVIDER: S-EPMC6026448 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Principles for Optimal Cooperativity in Allosteric Materials.

Yan Le L   Ravasio Riccardo R   Brito Carolina C   Wyart Matthieu M  

Biophysical journal 20180601 12


Allosteric proteins transmit a mechanical signal induced by binding a ligand. However, understanding the nature of the information transmitted and the architectures optimizing such transmission remains a challenge. Here we show, using an in silico evolution scheme and theoretical arguments, that architectures optimized to be cooperative, which efficiently propagate energy, qualitatively differ from previously investigated materials optimized to propagate strain. Although we observe a large diver  ...[more]

Similar Datasets

| S-EPMC2206566 | biostudies-literature
| S-EPMC2575317 | biostudies-other
| S-EPMC4291754 | biostudies-literature
| S-EPMC3898861 | biostudies-literature
| S-EPMC10425332 | biostudies-literature
| S-EPMC5347607 | biostudies-literature
| S-EPMC5941182 | biostudies-literature
| S-EPMC3329180 | biostudies-literature
| S-EPMC4300553 | biostudies-literature
| S-EPMC10107604 | biostudies-literature