Revealing Transition State Stabilization in Organocatalytic Ring‐Opening Polymerization Using Data Science

M Miaomiao Zhang (Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry) Y Yuming Su (State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering & Institute of Artificial Intelligence & Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM)) T Tianyi Du (Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and Engineering Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, and College of Chemistry and Molecular Engineering, Peking University Beijing 100871 China) S Shihao Ding (Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and Engineering Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, and College of Chemistry and Molecular Engineering Peking University Beijing 100871 China) J Jieyu Dai (Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and Engineering Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, and College of Chemistry and Molecular Engineering Peking University Beijing 100871 China) C Cheng Wang Y Yun Liu

Abstract

AbstractIn nature, enzymes leverage constituent amino acid residues to create catalytically active sites to effect high reactivity and selectivity. Multicomponent host–guest assemblies have been exploited to mimic enzymatic microenvironments by pre‐organizing a network of noncovalent interactions. While organocatalysts such as thioureas have gained widespread success in organic transformation and controlled polymerization, evaluation of the participating structural features in the transition state (TS) remains challenging. Herein, we report the use of data science tools, i.e., a decision‐tree‐based machine‐learning algorithm and Shapley additive explanations (SHAP) analysis, to model reactivity and regioselectivity in a thiourea‐catalyzed ring‐opening polymerization of 1,2‐dithiolanes. Variation of aryl substituent position and electronic characteristics reveals key catalyst features involved in the TS. The analysis of feature importance helps explain the reason behind the optimal performance of (pseudo)halogen‐substituted catalysts. Furthermore, the structural basis for the unveiled reactivity‐regioselectivity trade‐off in the catalysis are established.

Article Details

Volume / Issue Vol. 64, Issue 23
Published June 02, 2025
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (7)

M

Miaomiao Zhang

Beijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry

Y

Yuming Su

State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering & Institute of Artificial Intelligence & Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM)

T

Tianyi Du

Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and Engineering Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, and College of Chemistry and Molecular Engineering, Peking University Beijing 100871 China

S

Shihao Ding

Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and Engineering Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, and College of Chemistry and Molecular Engineering Peking University Beijing 100871 China

J

Jieyu Dai

Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and Engineering Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, and College of Chemistry and Molecular Engineering Peking University Beijing 100871 China

C

Cheng Wang

Y

Yun Liu