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Abstract
The tunable design of protein redox potentials promises to open a range of applications in biotechnology and catalysis. Here, we introduce a method to calculate redox potential changes by combining fluctuation relations with molecular dynamics simulations. It involves the simulation of reduced and oxidized states, followed by the instantaneous conversion between them. Energy differences introduced by the perturbations are obtained using the Kubo-Onsager approach. Using a detailed fluctuation relation coupled with Bayesian inference, these are postprocessed into estimates for the redox potentials in an efficient manner. This new method, denoted MD + CB, is tested on a de novo four-helix bundle heme protein (the m4D2 "maquette") and five designed mutants, including some mutants characterized experimentally in this work. The MD + CB approach is found to perform reliably, giving redox potential shifts with reasonably good correlation (0.85) to the experimental values for the mutants. The MD + CB approach also compares well with redox potential shift predictions using a continuum electrostatic method. The estimation method employed within the MD + CB approach is straightforwardly transferable to standard equilibrium MD simulations and holds promise for redox protein engineering and design applications.
| Original language | English |
|---|---|
| Pages (from-to) | 385-395 |
| Number of pages | 11 |
| Journal | Journal of Chemical Theory and Computation |
| Volume | 20 |
| Issue number | 1 |
| Early online date | 27 Dec 2023 |
| DOIs | |
| Publication status | Published - 9 Jan 2024 |
Bibliographical note
Funding Information:J.R. thanks F Cerisola, M Rider, and WP Wardley for helpful discussions. This work is part of a project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 101021207): A.J.M. and A.S.F.O. thank ERC for funding for the PREDACTED advanced grant. A.J.M. and A.S.F.O. also thank EPSRC (grant number EP/M022609/1) and BBSRC (grant numbers BB/R016445/1 and BB/X009831/1) for support, as well as BrisSynBio, a BBSRC/EPSRC Synthetic Biology Research Centre (grant number: BB/L01386 X/1). J.L.R.A., A.S.F.O., and A.J.M. acknowledge the UKRI sLoLA grant BB/W003449/1. A.S.F.O. thanks Oracle for research funding. J.A. and J.R. acknowledge support from EPSRC (grants nos. EP/T002875/1 and EP/R045577/1), and J.A. thanks the Royal Society for support. J.R. also acknowledges support from the Surrey Future Fellowship Programme. MD simulations were carried out using the computational facilities of the Advanced Computing Research Centre, the University of Bristol ( http://www.bris.ac.uk/acrc ).
Publisher Copyright:
© 2023 The Authors. Published by American Chemical Society
Research Groups and Themes
- Bristol BioDesign Institute
- BrisSynBio
- Physical & Theoretical
Keywords
- synthetic biology
- Heme/chemistry
- Proteins/chemistry
- Amino Acid Sequence
- Molecular Dynamics Simulation
- Oxidation-Reduction
- Bayes Theorem
- Protein Structure, Secondary
Fingerprint
Dive into the research topics of 'Fluctuation relations to calculate protein redox potentials from molecular dynamics simulations'. Together they form a unique fingerprint.Projects
- 1 Finished
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PREDACTED: Predictive simulation for Enzyme Dynamics, Antimicrobial resistance, Catalysis and Thermoadaptation for Evolution and Design
Mulholland, A. J. (Principal Investigator)
1/08/21 → 31/07/26
Project: Research, Parent
Equipment
-
HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities
Alam, S. R. (Manager), Williams, D. A. G. (Manager), Eccleston, P. E. (Manager) & Greene, D. (Manager)
Facility/equipment: Facility
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