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Microsecond timescale MD simulations at the transition state of PmHMGR predict remote allosteric residues.
Quinn, Taylor R; Steussy, Calvin N; Haines, Brandon E; Lei, Jinping; Wang, Wei; Sheong, Fu Kit; Stauffacher, Cynthia V; Huang, Xuhui; Norrby, Per-Ola; Helquist, Paul; Wiest, Olaf.
Affiliation
  • Quinn TR; Department of Chemistry and Biochemistry, University of Notre Dame Notre Dame IN 46556 USA owiest@nd.edu.
  • Steussy CN; Early TDE Discovery, Early Oncology, Oncology R&D, AstraZeneca Boston USA.
  • Haines BE; Department of Biological Sciences, Purdue Center for Cancer Research, Purdue University West Lafayette IN 47907 USA.
  • Lei J; Department of Chemistry, Westmont College Santa Barbara CA 93108 USA.
  • Wang W; Department of Chemistry, The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong China.
  • Sheong FK; School of Pharmaceutical Sciences, Sun Yat-sen University Guangzhou 510006 China.
  • Stauffacher CV; Department of Chemistry, The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong China.
  • Huang X; Department of Chemistry, The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong China.
  • Norrby PO; Department of Biological Sciences, Purdue Center for Cancer Research, Purdue University West Lafayette IN 47907 USA.
  • Helquist P; Department of Chemistry, The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong China.
  • Wiest O; Department of Chemistry and Biochemistry, University of Notre Dame Notre Dame IN 46556 USA owiest@nd.edu.
Chem Sci ; 12(18): 6413-6418, 2021 Apr 01.
Article in En | MEDLINE | ID: mdl-34084441
ABSTRACT
Understanding the mechanisms of enzymatic catalysis requires a detailed understanding of the complex interplay of structure and dynamics of large systems that is a challenge for both experimental and computational approaches. More importantly, the computational demands of QM/MM simulations mean that the dynamics of the reaction can only be considered on a timescale of nanoseconds even though the conformational changes needed to reach the catalytically active state happen on a much slower timescale. Here we demonstrate an alternative approach that uses transition state force fields (TSFFs) derived by the quantum-guided molecular mechanics (Q2MM) method that provides a consistent treatment of the entire system at the classical molecular mechanics level and allows simulations at the microsecond timescale. Application of this approach to the second hydride transfer transition state of HMG-CoA reductase from Pseudomonas mevalonii (PmHMGR) identified three remote residues, R396, E399 and L407, (15-27 Å away from the active site) that have a remote dynamic effect on enzyme activity. The predictions were subsequently validated experimentally via site-directed mutagenesis. These results show that microsecond timescale MD simulations of transition states are possible and can predict rather than just rationalize remote allosteric residues.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Chem Sci Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Chem Sci Year: 2021 Document type: Article