Eliminating transition state calculations for faster and more accurate reactivity prediction in Sulfa-Michael additions relevant to human health and the environment

Townsend, Piers A.; Farrar, Elliot H.E.; Grayson, Matthew N.

Abstract

Fast and accurate computational approaches to predicting reactivity in sulfa-Michael additions are required for high-throughput screening in toxicology (e.g., predicting excess aquatic toxicity and skin sensitization), chemical synthesis, covalent drug design (e.g., targeting cysteine), and data set generation for machine learning. The kinetic glutathione chemoassay is a time-consuming in chemico method used to extract kinetic data in the form of log(kGSH) for organic electrophiles. In this work, we use density functional theory to compare the use of transition states (TSs) and enolate intermediate structures following C-S bond formation in the prediction of log(kGSH) for a diverse group of 1,4 Michael acceptors. Despite the widespread use of transition state calculations in the literature to predict sulfa-Michael reactivity, we observe that intermediate structures show much better performance for the prediction of log(kGSH), are faster to calculate, and easier to obtain than TSs. Furthermore, we show how linear combinations of atomic charges from the isolated Michael acceptors can further improve predictions, even when using inexpensive semiempirical quantum chemistry methods. Our models can be used widely in the chemical sciences (e.g., in the prediction of toxicity relevant to the environment and human health, synthesis planning, and the design of cysteine-targeting covalent inhibitors), and represent a low-cost, sustainable approach to reactivity assessment.

Citation

Townsend, P. A., Farrar, E. H., & Grayson, M. N. (2022). Eliminating transition state calculations for faster and more accurate reactivity prediction in Sulfa-Michael additions relevant to human health and the environment. ACS Omega, 7(30), 26945-26951. https://doi.org/10.1021/acsomega.2c03739

• Journal Article Type: Article
• Acceptance Date: Jul 4, 2022
• Online Publication Date: Jul 21, 2022
• Publication Date: Aug 2, 2022
• Deposit Date: Sep 5, 2022
• Publicly Available Date: Sep 6, 2022
• Journal: ACS Omega
• Electronic ISSN: 2470-1343
• Publisher: American Chemical Society
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 30
• Pages: 26945-26951
• DOI: https://doi.org/10.1021/acsomega.2c03739
• Keywords: General Chemical Engineering; General Chemistry; Antioxidants; Chemical calculations; Chemical structure; Energy; Reactivity
• Public URL: https://uwe-repository.worktribe.com/output/9949657
• Publisher URL: https://pubs.acs.org/doi/10.1021/acsomega.2c03739