Literature DB >> 35830574

Transition Path Sampling Based Calculations of Free Energies for Enzymatic Reactions: The Case of Human Methionine Adenosyl Transferase and Plasmodium vivax Adenosine Deaminase.

Sree Ganesh Balasubramani1, Steven D Schwartz1.   

Abstract

Transition path sampling (TPS) is widely used for the calculations of reaction rates, transition state structures, and reaction coordinates of condensed phase systems. Here we discuss a scheme for the calculation of free energies using the ensemble of TPS reactive trajectories in combination with a window-based sampling technique for enzyme-catalyzed reactions. We calculate the free energy profiles of the reactions catalyzed by the human methionine S-adenosyltransferase (MAT2A) enzyme and the Plasmodium vivax adenosine deaminase (pvADA) enzyme to assess the accuracy of this method. MAT2A catalyzes the formation of S-adenosine-l-methionine following a SN2 mechanism, and using our method, we estimate the free energy barrier for this reaction to be 16 kcal mol-1, which is in excellent agreement with the experimentally measured activation energy of 17.27 kcal mol-1. Furthermore, for the pvADA enzyme-catalyzed reaction we estimate a free energy barrier of 21 kcal mol-1, and the calculated free energy profile is similar to that predicted from experimental observations. Calculating free energies by employing our simple method within TPS provides significant advantages over methods such as umbrella sampling because it is free from any applied external bias, is accurate compared to experimental measurements, and has a reasonable computational cost.

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Year:  2022        PMID: 35830574      PMCID: PMC9444332          DOI: 10.1021/acs.jpcb.2c03251

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   3.466


  37 in total

1.  Transition path sampling: throwing ropes over rough mountain passes, in the dark.

Authors:  Peter G Bolhuis; David Chandler; Christoph Dellago; Phillip L Geissler
Journal:  Annu Rev Phys Chem       Date:  2001-10-04       Impact factor: 12.703

Review 2.  Molecular dynamics simulations of biomolecules.

Authors:  Martin Karplus; J Andrew McCammon
Journal:  Nat Struct Biol       Date:  2002-09

3.  Computing time scales from reaction coordinates by milestoning.

Authors:  Anton K Faradjian; Ron Elber
Journal:  J Chem Phys       Date:  2004-06-15       Impact factor: 3.488

4.  The reweighted path ensemble.

Authors:  Jutta Rogal; Wolfgang Lechner; Jarek Juraszek; Bernd Ensing; Peter G Bolhuis
Journal:  J Chem Phys       Date:  2010-11-07       Impact factor: 3.488

Review 5.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

Review 6.  Enzymatic transition states and transition state analog design.

Authors:  V L Schramm
Journal:  Annu Rev Biochem       Date:  1998       Impact factor: 23.643

Review 7.  Efficient drug lead discovery and optimization.

Authors:  William L Jorgensen
Journal:  Acc Chem Res       Date:  2009-06-16       Impact factor: 22.384

Review 8.  Promoting Vibrations and the Function of Enzymes. Emerging Theoretical and Experimental Convergence.

Authors:  Vern L Schramm; Steven D Schwartz
Journal:  Biochemistry       Date:  2018-04-10       Impact factor: 3.162

9.  The Transition-State Structure for Human MAT2A from Isotope Effects.

Authors:  Ross S Firestone; Vern L Schramm
Journal:  J Am Chem Soc       Date:  2017-09-20       Impact factor: 15.419

Review 10.  S-adenosyl-L-methionine. A review of its pharmacological properties and therapeutic potential in liver dysfunction and affective disorders in relation to its physiological role in cell metabolism.

Authors:  H A Friedel; K L Goa; P Benfield
Journal:  Drugs       Date:  1989-09       Impact factor: 9.546

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