Reaction-conditioned De Novo Enzyme Design with GENzyme
Chenqing Hua, Jiarui Lu, Yong Liu, Odin Zhang, Jian Tang, Rex Ying,, Wengong Jin, Guy Wolf, Doina Precup, Shuangjia Zheng

TL;DR
GENzyme is a novel reaction-conditioned enzyme design model that generates enzyme structures and catalytic pockets based on specific reactions, shifting from traditional binding-focused methods to a reaction-first approach for more accurate enzyme engineering.
Contribution
The paper introduces GENzyme, a three-stage, reaction-driven de novo enzyme design model that generates enzyme structures tailored to catalyze specific reactions, advancing enzyme design methodology.
Findings
GENzyme effectively designs enzyme structures for targeted reactions.
The model outperforms traditional binding-focused approaches in reaction-specific enzyme creation.
GENzyme's reaction-first approach improves biological relevance of designed enzymes.
Abstract
The introduction of models like RFDiffusionAA, AlphaFold3, AlphaProteo, and Chai1 has revolutionized protein structure modeling and interaction prediction, primarily from a binding perspective, focusing on creating ideal lock-and-key models. However, these methods can fall short for enzyme-substrate interactions, where perfect binding models are rare, and induced fit states are more common. To address this, we shift to a functional perspective for enzyme design, where the enzyme function is defined by the reaction it catalyzes. Here, we introduce \textsc{GENzyme}, a \textit{de novo} enzyme design model that takes a catalytic reaction as input and generates the catalytic pocket, full enzyme structure, and enzyme-substrate binding complex. \textsc{GENzyme} is an end-to-end, three-staged model that integrates (1) a catalytic pocket generation and sequence co-design module, (2) a pocket…
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Taxonomy
TopicsEnzyme Catalysis and Immobilization
MethodsInpainting
