4.4 Article

Evaluating continuous chirality measure as a 3D descriptor in chemoinformatics applied to asymmetric catalysis

Journal

TETRAHEDRON
Volume 75, Issue 13, Pages 1841-1851

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tet.2019.02.007

Keywords

Continuous chirality measure; Machine learning; Multivariate analysis

Funding

  1. W.M. Keck Foundation
  2. University of Illinois for Graduate Fellowships

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Continuous Chirality Measure (CCM) is a computational metric by which to quantify the chirality of a compound. In enantioselective catalysis, prior work has postulated that CCM is correlated to selectivity and can be used to understand which structural features dictate catalyst efficacy. Herein, the investigation of CCM as a metric capable of guiding catalyst optimization is explored. Conformer-dependent CCM is also explored. Finally, CCM is used with Sterimol parameters to significantly improve the performance of Random Forest models. (C) 2019 Elsevier Ltd. All rights reserved.

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