Literature DB >> 32640497

Electronic structure benchmark calculations of CO2 fixing elementary chemical steps in RuBisCO using the projector-based embedding approach.

Oscar A Douglas-Gallardo1, Ian Shepherd2, Simon J Bennie2, Kara E Ranaghan2, Adrian J Mulholland2, Esteban Vöhringer-Martinez1.   

Abstract

Ribulose 1,5-bisphosphate carboxylase-oxygenase (RuBisCO) is the main enzyme involved in atmospheric carbon dioxide (CO2 ) fixation in the biosphere. This enzyme catalyzes a set of five chemical steps that take place in the same active-site within magnesium (II) coordination sphere. Here, a set of electronic structure benchmark calculations have been carried out on a reaction path proposed by Gready et al. by means of the projector-based embedding approach. Activation and reaction energies for all main steps catalyzed by RuBisCO have been calculated at the MP2, SCS-MP2, CCSD, and CCSD(T)/aug-cc-pVDZ and cc-pVDZ levels of theory. The treatment of the magnesium cation with post-HF methods is explored to determine the nature of its involvement in the mechanism. With the high-level ab initio values as a reference, we tested the performance of a set of density functional theory (DFT) exchange-correlation (xc) functionals in reproducing the reaction energetics of RuBisCO carboxylase activity on a set of model fragments. Different DFT xc-functionals show large variation in activation and reaction energies. Activation and reaction energies computed at the B3LYP level are close to the reference SCS-MP2 results for carboxylation, hydration and protonation reactions. However, for the carbon-carbon bond dissociation reaction, B3LYP and other functionals give results that differ significantly from the ab initio reference values. The results show the applicability of the projector-based embedding approach to metalloenzymes. This technique removes the uncertainty associated with the selection of different DFT xc-functionals and so can overcome some of inherent limitations of DFT calculations, complementing, and potentially adding to modeling of enzyme reaction mechanisms with DFT methods.
© 2020 Wiley Periodicals LLC.

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Keywords:  American Chemical Society; LATE X

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Year:  2020        PMID: 32640497     DOI: 10.1002/jcc.26380

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  2 in total

1.  Catalytic mechanism of the colistin resistance protein MCR-1.

Authors:  Reynier Suardíaz; Emily Lythell; Philip Hinchliffe; Marc van der Kamp; James Spencer; Natalie Fey; Adrian J Mulholland
Journal:  Org Biomol Chem       Date:  2021-05-05       Impact factor: 3.876

2.  Mechanistic Studies of the Catalytic Reduction of CO2 to CO: Efficient CO-Releasing Si- and Ge-Based Catalysts.

Authors:  Taye B Demissie; Jenbrie M Kessete
Journal:  ACS Omega       Date:  2022-01-27
  2 in total

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