Literature DB >> 22497287

Assessment of theoretical procedures for calculating barrier heights for a diverse set of water-catalyzed proton-transfer reactions.

Amir Karton1, Robert J O'Reilly, Leo Radom.   

Abstract

Accurate electronic barrier heights are obtained for a set of nine proton-transfer tautomerization reactions, which are either (i) uncatalyzed, (ii) catalyzed by one water molecule, or (iii) catalyzed by two water molecules. The barrier heights for reactions (i) and (ii) are obtained by means of the high-level ab initio W2.2 thermochemical protocol, while those for reaction (iii) are obtained using the W1 protocol. These three sets of benchmark barrier heights allow an assessment of the performance of more approximate theoretical procedures for the calculation of barrier heights of uncatalyzed and water-catalyzed reactions. We evaluate initially the performance of the composite G4 procedure and variants thereof (e.g., G4(MP2) and G4(MP2)-6X), as well as that of standard ab initio procedures (e.g., MP2, SCS-MP2, and MP4). We find that the performance of the G4(MP2)-type thermochemical procedures deteriorates with the number of water molecules involved in the catalysis. This behavior is linked to deficiencies in the MP2-based basis-set-correction term in the G4(MP2)-type procedures. This is remedied in the MP4-based G4 procedure, which shows good performance for both the uncatalyzed and the water-catalyzed reactions, with mean absolute deviations (MADs) from the benchmark values lying below the threshold of "chemical accuracy" (arbitrarily defined as 1 kcal mol(-1) ≈ 4.2 kJ mol(-1)). We also examine the performance of a large number of density functional theory (DFT) and double-hybrid DFT (DHDFT) procedures. We find that, with few exceptions (most notably PW6-B95 and B97-2), the performance of the DFT procedures that give good results for the uncatalyzed reactions deteriorates with the number of water molecules involved in the catalysis. The DHDFT procedures, on the other hand, show excellent performance for both the uncatalyzed and catalyzed reactions. Specifically, almost all of them afford MADs below the "chemical accuracy" threshold, with ROB2-PLYP and B2K-PLYP showing the best overall performance.

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Year:  2012        PMID: 22497287     DOI: 10.1021/jp301499y

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  7 in total

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2.  DFT study of the hydrolysis reaction in atranes and ocanes: the influence of transannular bonding.

Authors:  Igor S Ignatyev; Manuel Montejo; Pilar G Rodriguez Ortega; Tatiana A Kochina; Juan Jesús López González
Journal:  J Mol Model       Date:  2015-12-07       Impact factor: 1.810

3.  Computational design of bio-inspired carnosine-based HOBr antioxidants.

Authors:  Farzaneh Sarrami; Li-Juan Yu; Amir Karton
Journal:  J Comput Aided Mol Des       Date:  2017-09-08       Impact factor: 3.686

4.  Chemically induced repair, adhesion, and recycling of polymers made by inverse vulcanization.

Authors:  Samuel J Tonkin; Christopher T Gibson; Jonathan A Campbell; David A Lewis; Amir Karton; Tom Hasell; Justin M Chalker
Journal:  Chem Sci       Date:  2020-05-15       Impact factor: 9.825

5.  Computational insights for the hydride transfer and distinctive roles of key residues in cholesterol oxidase.

Authors:  Li-Juan Yu; Emily Golden; Nanhao Chen; Yuan Zhao; Alice Vrielink; Amir Karton
Journal:  Sci Rep       Date:  2017-12-08       Impact factor: 4.379

6.  Benefits of Range-Separated Hybrid and Double-Hybrid Functionals for a Large and Diverse Data Set of Reaction Energies and Barrier Heights.

Authors:  Golokesh Santra; Rivka Calinsky; Jan M L Martin
Journal:  J Phys Chem A       Date:  2022-08-05       Impact factor: 2.944

7.  Explicitly Correlated Double-Hybrid DFT: A Comprehensive Analysis of the Basis Set Convergence on the GMTKN55 Database.

Authors:  Nisha Mehta; Jan M L Martin
Journal:  J Chem Theory Comput       Date:  2022-09-13       Impact factor: 6.578

  7 in total

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