bioRxivBiophysicsPreprint
Computational design of highly signaling active membrane receptors through de novo solvent-mediated allosteric networks
M. Chen, J. Lai, J. Wang, K. Conners, A. Russell, E. Hembre, M. Rutter, B. Condon, L. Kodandapani, B. Chau, X. Zhao, J. Benach, K. Baker, P. Barth
Abstract
Protein catalysis and allostery require the atomic-level orchestration and motion of residues, ligand, solvent and protein effector molecules, but the ability to design protein activity through precise protein-solvent cooperative interactions has not been demonstrated. Here, we report the design of a dozen novel membrane receptors catalyzing G-protein nucleotide exchange through diverse de novo engineered allosteric pathways mediated by cooperative networks of intra-protein, protein-ligand and solvent molecule interactions. Consistent with the predictions, designed protein activities strongly correlated with the level of solvent-mediated interaction network plasticity at flexible transmembrane helical interfaces. Several designs displayed considerably enhanced thermostability and activity compared to related natural receptors. The most stable and active variant crystallized in an unforeseen signaling active conformation, in excellent agreement with the design models. The allosteric network topologies of the best designs bear limited similarity to those of natural receptors and reveal a space of allosteric interactions larger than previously inferred from natural proteins. The approach should prove useful for engineering proteins with novel complex protein catalytic and signaling activities.
- assay: protein structure
- research focus: protein design
- approach: deep learning
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Computationally designed GPCR quaternary structures bias signaling pathway activation
J. S. Paradis, X. Feng, … P. Barth·bioRxiv·Sep 23, 2021
- De novo design of allosterically switchable protein assemblies
- Network analysis reveals how lipids and other cofactors influence membrane protein allostery
A. M. Westerlund, O. Fleetwood, … L. Delemotte·The Journal of Chemical PhysicsPeer-reviewed·Oct 14, 2020
- Dynamic allosteric networks drive adenosine A1 receptor activation and G-protein coupling
M. A. Maria Solano, S. Choi·bioRxiv·Aug 8, 2022
- Towards comprehensive allosteric control over protein activity
E. Guarnera, I. N. Berezovsky·bioRxiv·Aug 4, 2018
- Ligand modulation of allosteric networks in an ancestral steroid receptor
C. Denise Okafor, Eric A. Ortlund·bioRxiv·Sep 11, 2018