Literature DB >> 23939817

A computational methodology for accurate predictions of rate constants in solution: application to the assessment of primary antioxidant activity.

Annia Galano1, Juan Raúl Alvarez-Idaboy.   

Abstract

The accurate prediction of rate constants for chemical reactions in solution, using computational methods, is a challenging task. In this work, a computational protocol designed to be a reliable tool in the study of radical-molecule reactions in solution is presented. It is referred to as quantum mechanics-based test for overall free radical scavenging activity (QM-ORSA) because it is mainly intended to provide a universal and quantitative way of evaluating the free radical scavenging activity of chemical compounds. That is, its primary antioxidant activity. However, it can also be successfully applied to obtain accurate kinetic data for other chemical reactions in solution. The QM-ORSA protocol has been validated by comparison with experimental results, and its uncertainties have been proven to be no larger than those arising from experiments. Further applications of QM-ORSA are expected to contribute increasing the kinetic data for free radical-molecule reactions relevant to oxidative stress, which is currently rather scarce.
Copyright © 2013 Wiley Periodicals, Inc.

Keywords:  chemical reactivity; kinetics; mechanism of reactions; rate coefficients; theoretical chemistry

Year:  2013        PMID: 23939817     DOI: 10.1002/jcc.23409

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


  46 in total

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2.  How does the presence of an oxyradical influence the behavior of polyphenolic antioxidant? A case study on gallic acid.

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Journal:  J Mol Model       Date:  2018-06-19       Impact factor: 1.810

3.  The reactions of plant hormones with reactive oxygen species: chemical insights at a molecular level.

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Journal:  J Mol Model       Date:  2018-08-28       Impact factor: 1.810

Review 4.  NAST: Nonadiabatic Statistical Theory Package for Predicting Kinetics of Spin-Dependent Processes.

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Journal:  Top Curr Chem (Cham)       Date:  2022-02-24

5.  7-O-Galloyltricetifavan: a promising natural radical scavenger.

Authors:  Le Trung Hieu; Tran Thi Van Thi; Nguyen Thi Hoa; Adam Mechler; Quan V Vo
Journal:  R Soc Open Sci       Date:  2022-06-22       Impact factor: 3.653

6.  A Potent Antioxidant Sesquiterpene, Abelsaginol, from Abelmoschus sagittifolius: Experimental and Theoretical Insights.

Authors:  Thuc Dinh Ngoc; Mai Vu Thi Ha; Thanh Nguyen Le; Hue Vu Thi; Thi Van Anh Nguyen; Adam Mechler; Nguyen Thi Hoa; Quan V Vo
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7.  Radical Scavenging Potential of the Phenothiazine Scaffold: A Computational Analysis.

Authors:  Marco Dalla Tiezza; Trevor A Hamlin; F Matthias Bickelhaupt; Laura Orian
Journal:  ChemMedChem       Date:  2021-10-15       Impact factor: 3.540

8.  Free-radical scavenging by tryptophan and its metabolites through electron transfer based processes.

Authors:  Adriana Pérez-González; Juan Raúl Alvarez-Idaboy; Annia Galano
Journal:  J Mol Model       Date:  2015-07-30       Impact factor: 1.810

9.  Radical Scavenging Activity of Natural Anthraquinones: a Theoretical Insight.

Authors:  Nguyen Quang Trung; Nguyen Minh Thong; Dao Hung Cuong; Tran Duc Manh; Loc Phuoc Hoang; Nguyen Khoa Hien; Pham Cam Nam; Duong Tuan Quang; Adam Mechler; Quan V Vo
Journal:  ACS Omega       Date:  2021-05-13

Review 10.  Computational studies of free radical-scavenging properties of phenolic compounds.

Authors:  Petko Alov; Ivanka Tsakovska; Ilza Pajeva
Journal:  Curr Top Med Chem       Date:  2015       Impact factor: 3.295

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