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评估连续手性度量作为化学信息学中应用于不对称催化的三维描述符。

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

作者信息

Zahrt Andrew F, Denmark Scott E

机构信息

Roger Adams Laboratory, Department of Chemistry, University of Illinois, Urbana, IL 61801, USA.

出版信息

Tetrahedron Lett. 2019 Mar 29;75(13):1841-1851. doi: 10.1016/j.tet.2019.02.007. Epub 2019 Feb 6.

DOI:10.1016/j.tet.2019.02.007
PMID:31983782
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6980240/
Abstract

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.

摘要

连续手性度量(CCM)是一种用于量化化合物手性的计算指标。在对映选择性催化中,先前的研究假设CCM与选择性相关,可用于理解哪些结构特征决定催化剂的效能。在此,我们探索将CCM作为一种能够指导催化剂优化的指标进行研究。还探讨了与构象相关的CCM。最后,CCM与Sterimol参数结合使用,显著提高了随机森林模型的性能。

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