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◆ Journal of Chemical Information and Modeling2026-04-02· Cheminformatics

EVODEX: A Cheminformatics Framework for Mechanistic Abstraction and Prediction of Enzymatic Reactions

Lais Lastre Conceicao, Haohong Lin, Yu-Chieh Tai, Gongao Xue, Han Zhang, Chenyan Zhang, J. Christopher Anderson

原始摘要(英文原文)· Original abstract
EVODEX is a cheminformatics framework for reasoning about enzymatic chemical transformations. It represents reactions using atom-mapped structure and decomposes multicomponent enzymatic reactions into mechanistically meaningful partial transformations, remaining well-defined even when only a single reaction is known. EVODEX defines a hierarchy of abstractions based on progressively inclusive σ-bonded and π-conjugated shells around reactive centers, retaining electronic context only when it is mechanistically required. This provides a deterministic criterion for mechanistic consistency that does not rely on curated rules or statistical generalization. Applied at scale, EVODEX yields a compact set of reaction operators that support reaction validation, product enumeration, and interpretation of LC-MS data.
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EVODEX: A Cheminformatics Framework for Mechanistic Abstraction and Prediction of Enzymatic Reactions — 科研速览 Science Skim