Bhattacharya, Prabuddha ; Chakraborty, Soham ; Balaji, Ashwin ; Basak, Amit (2022) Angle distortion model for predicting enediyne activation towards Bergman cyclization: an alternate to the distance theory RSC Advances, 12 (36). pp. 23552-23565. ISSN 2046-2069
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Official URL: http://doi.org/10.1039/d2ra03193k
Related URL: http://dx.doi.org/10.1039/d2ra03193k
Abstract
The kinetics of Bergman cyclization (BC) of enediynes into 1,4-benzene diradicals (also known as p-benzynes) have attracted interest ever since the discovery of natural enediynes which pointed out a surprising reactivity profile difference across enediynes with varying structural architectures. From the analysis of experimental kinetic data, several models were proposed to have a structure-kinetics correlation, out of which, the cd-distance model and the transition state model are the most accepted ones. Recently, Houk et al. introduced a distortion model to explain the regioselectivity of nucleophilic addition to unsymmetrical o-benzynes based on the geometry of the transition state. In the case of BC, since the reaction is endothermic, the transition state geometrically resembles the product structure which implies that in the reaction pathway, the sp-carbons of enediynes are transformed into the trigonal sp2 carbons of the benzenoid product. Thus, greater bending of the interior angles at the proximal alkyne carbons in the enediynes will lead to a lower activation barrier for the BC and hence faster cyclization. This hypothesis has been tested on a series of enediynes including natural product surrogates and the extent of deviation correlates well with the kinetic results. A cut-off value for the average internal proximal angles has been proposed to categorize enediynes as per their reactivity under ambient conditions. We believe that this distortion theory offers an alternative model in designing new unnatural enediynes with desired kinetic stabilities.
Item Type: | Article |
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Source: | Copyright of this article belongs to Royal Society of Chemistry. |
ID Code: | 130082 |
Deposited On: | 02 Dec 2022 05:58 |
Last Modified: | 05 Dec 2022 05:51 |
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