Literature DB >> 26583861

Specific Reaction Path Hamiltonian for Proton Transfer in Water: Reparameterized Semiempirical Models.

Xin Wu1, Walter Thiel1, Soroosh Pezeshki2, Hai Lin2.   

Abstract

The semiempirical MNDO-based AM1 and PM3 methods and the orthogonalization-corrected OM1, OM2, and OM3 models were reparameterized to improve their description of bulk water and of proton transfer in water. Reference data included the gas-phase geometries and energies of the water molecule, small water clusters, the hydronium ion, and small hydronium ion-water clusters, as well as the gas-phase potential energy surface for proton transfer between the two water molecules in a Zundel ion, all calculated at the MP2/aug-cc-pVTZ level of theory. Combined QM/MM molecular dynamics simulations were carried out for bulk water and for a proton solvated in water using large cluster models. Both the authentic and reparameterized semiempirical models were employed in the simulations. The reparameterization led to significantly better results in all cases. The new set of OM3 parameters gave the best overall results for the structural and dynamic properties of water and the hydrated proton, with a small but finite barrier of 0.1-0.2 kcal/mol in the potential of mean force for proton transfer, in agreement with ab initio path-integral molecular dynamics simulations. The reparameterized OM3 model is expected to be useful for efficient modeling of proton transfer in aqueous solution.

Entities:  

Year:  2013        PMID: 26583861     DOI: 10.1021/ct400224n

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  9 in total

Review 1.  Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications.

Authors:  Anders S Christensen; Tomáš Kubař; Qiang Cui; Marcus Elstner
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

Review 2.  Enhanced semiempirical QM methods for biomolecular interactions.

Authors:  Nusret Duygu Yilmazer; Martin Korth
Journal:  Comput Struct Biotechnol J       Date:  2015-02-28       Impact factor: 7.271

3.  Machine Learning of Parameters for Accurate Semiempirical Quantum Chemical Calculations.

Authors:  Pavlo O Dral; O Anatole von Lilienfeld; Walter Thiel
Journal:  J Chem Theory Comput       Date:  2015-04-02       Impact factor: 6.006

4.  Prediction of perturbed proton transfer networks.

Authors:  Marco Reidelbach; Marcus Weber; Petra Imhof
Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

5.  Semiempirical Quantum-Chemical Methods with Orthogonalization and Dispersion Corrections.

Authors:  Pavlo O Dral; Xin Wu; Walter Thiel
Journal:  J Chem Theory Comput       Date:  2019-02-27       Impact factor: 6.006

6.  Morphological effect of side chain on H3O+ transfer inside polymer electrolyte membranes across polymeric chain via molecular dynamics simulation.

Authors:  JinHyeok Cha
Journal:  Sci Rep       Date:  2020-12-16       Impact factor: 4.379

7.  Molecular simulation of water and hydration effects in different environments: challenges and developments for DFTB based models.

Authors:  Puja Goyal; Hu-Jun Qian; Stephan Irle; Xiya Lu; Daniel Roston; Toshifumi Mori; Marcus Elstner; Qiang Cui
Journal:  J Phys Chem B       Date:  2014-09-16       Impact factor: 2.991

8.  Semiempirical Quantum-Chemical Orthogonalization-Corrected Methods: Theory, Implementation, and Parameters.

Authors:  Pavlo O Dral; Xin Wu; Lasse Spörkel; Axel Koslowski; Wolfgang Weber; Rainer Steiger; Mirjam Scholten; Walter Thiel
Journal:  J Chem Theory Comput       Date:  2016-01-29       Impact factor: 6.006

9.  Semiempirical Quantum-Chemical Orthogonalization-Corrected Methods: Benchmarks for Ground-State Properties.

Authors:  Pavlo O Dral; Xin Wu; Lasse Spörkel; Axel Koslowski; Walter Thiel
Journal:  J Chem Theory Comput       Date:  2016-01-29       Impact factor: 6.006

  9 in total

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