Matthieu Wyart

Physicist (EPFL) and senior author of a modeling program on the architecture, evolution, and coevolution of allosteric mechanical materials — the evolved-elastic-network lineage (Yan, Ravasio, Brito & Wyart, PNAS 2017 and Biophys. J. 2018; Bravi, Ravasio, Brito & Wyart, PLoS Comput. Biol. 2020). He matters to this vault as the recurring senior figure behind the physics-side model that its sequence-side bridge to protein coevolution rests on: his group's networks are what Direct Coupling Analysis is applied to when it is benchmarked against protein allostery.

References

• claim-bravi-2020-applies-dca-to-evolved-allosteric-networks-as-synthetic-msa — casts an evolved allosteric-network ensemble as a synthetic MSA and runs DCA on it.
• claim-dca-underestimates-long-range-epistasis-in-allosteric-materials — the central distance-dependent-failure result.
• claim-dca-predicts-mutation-costs-but-poor-generative-model-of-allostery — DCA's discriminative/generative asymmetry in these networks.
• claim-pdz-dca-couplings-track-short-range-epistasis-more-than-long-range — the real-protein (PDZ) validation.
• claim-bravi-allosteric-networks-are-evolved-not-coupled-learning — the Monte-Carlo-evolved vs. coupled-learning scope distinction.