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ImposedActivation_chemrxiv_25_09_2020.pdf (1.21 MB)

Automatic discovery of chemical reactions using imposed activation

preprint
submitted on 29.09.2020 and posted on 29.09.2020 by Cyrille Lavigne, Gabriel dos Passos Gomes, Robert Pollice, Alan Aspuru-Guzik
Computational power and quantum chemical methods have improved immensely since computers were first applied to the study of reactivity, but the de novo prediction of chemical reactions has remained challenging. We show that complex reactions can be efficiently and autonomously predicted using chemical activation imposed by simple geometrical constraints. Our approach is demonstrated on realistic and challenging chemistry, such as a triple cyclization cascade involved in the total synthesis of a natural product and several oxidative addition reactions of complex drug-like molecules. Notably and in contrast with traditional hand-guided computational chemistry calculations, our method requires minimal human involvement and no prior knowledge of products or mechanisms. Imposed activation can be a transformational tool to screen for chemical reactivity and mechanisms as well as to study byproduct formation and decomposition.

Funding

DARPA Accelerated Molecular Discovery Progam HR00111920027

History

Email Address of Submitting Author

cyrille.lavigne@mail.utoronto.ca

Institution

University of Toronto

Country

Canada

ORCID For Submitting Author

0000-0003-2778-1866

Declaration of Conflict of Interest

no conflict of interest

Exports