Literature DB >> 16045291

Exploring phase-transfer catalysis with molecular dynamics and 3D/4D quantitative structure-selectivity relationships.

James L Melville1, Kevin R J Lovelock, Claire Wilson, Bryan Allbutt, Edmund K Burke, Barry Lygo, Jonathan D Hirst.   

Abstract

Quantitative Structure-Selectivity Relationships (QSSR) are developed for a library of 40 phase-transfer asymmetric catalysts, based around quaternary ammonium salts, using Comparative Molecular Field Analysis (CoMFA) and closely related variants. Due to the flexibility of these catalysts, we use molecular dynamics (MD) with an implicit Generalized Born solvent model to explore their conformational space. Comparison with crystal data indicates that relevant conformations are obtained and that, furthermore, the correct biphenyl twist conformation is predicted, as illustrated by the superiority of the resulting model (leave-one-out q(2) = 0.78) compared to a random choice of low-energy conformations for each catalyst (average q(2) = 0.22). We extend this model by incorporating the MD trajectory directly into a 4D QSSR and by Boltzmann-weighting the contribution of selected minimized conformations, which we refer to as '3.5D' QSSR. The latter method improves on the predictive ability of the 3D QSSR (leave-one-out q(2) = 0.83), as confirmed by repeated training/test splits.

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Year:  2005        PMID: 16045291     DOI: 10.1021/ci050051l

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  6 in total

1.  Effect of steric molecular field settings on CoMFA predictivity.

Authors:  Ruchi R Mittal; Ross A McKinnon; Michael J Sorich
Journal:  J Mol Model       Date:  2007-11-24       Impact factor: 1.810

2.  Quantum Molecular Interaction Field Models of Substrate Enantioselection in Asymmetric Processes.

Authors:  Marisa C Kozlowski; James C Ianni
Journal:  J Mol Catal A Chem       Date:  2010-06-01

3.  A systematic investigation of quaternary ammonium ions as asymmetric phase-transfer catalysts. Application of quantitative structure activity/selectivity relationships.

Authors:  Scott E Denmark; Nathan D Gould; Larry M Wolf
Journal:  J Org Chem       Date:  2011-05-06       Impact factor: 4.354

4.  Counter propagation artificial neural networks modeling of an enantioselectivity of artificial metalloenzymes.

Authors:  Sylwester Mazurek; Thomas R Ward; Marjana Novic
Journal:  Mol Divers       Date:  2008-03-04       Impact factor: 2.943

Review 5.  Quantitative Structure-Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future.

Authors:  Andrew F Zahrt; Soumitra V Athavale; Scott E Denmark
Journal:  Chem Rev       Date:  2019-12-30       Impact factor: 60.622

6.  Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors.

Authors:  Yanfei Guan; Connor W Coley; Haoyang Wu; Duminda Ranasinghe; Esther Heid; Thomas J Struble; Lagnajit Pattanaik; William H Green; Klavs F Jensen
Journal:  Chem Sci       Date:  2020-12-22       Impact factor: 9.825

  6 in total

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