Back to search

Article

EnzySeek: Efficient Exploration of Enzyme Reaction Pathways Using AI Agents

2026-03-02

Abstract excerpt

With the rapid development of Large Language Models (LLMs) and Agent technologies, AI can assist in solving a variety of real-world problems across multiple domains, such as autonomous driving, drug discovery, and materials design. In this work, we present EnzySeek, an enzyme catalysis AI agent designed to assist researchers in enzyme catalysis simulations. First, we constructed a domain-specific knowledge base by...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4bf5c17a-52b0-5728-9532-7005f98f388f
DOI
10.64898/2026.03.02.708939
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
EnzySeek: Efficient Exploration of Enzyme Reaction Pathways Using AI AgentsDOI 10.64898/2026.03.02.708939
Select a neighboring publication to make it the new centre.