Work

TeroSeek: An AI-powered platform integrating literature-derived knowledge base and expert Q&A agent for terpenoid research

Year: 2026

Type: article

Abstract: SHORT SUMMARY: TeroSeek is an AI-powered platform that converts terpenoid literature into a structured knowledge base of over 3 million entries and an expert Q&A agent. By coupling knowledge-graph retrieval with large language models, it delivers evidence-based, fully cited answers that reduce hallucination and bypass knowledge cutoffs. The framework is readily transferable to other scientific domains.

Source: Plant Communications

DOI: 10.1016/j.xplc.2026.102091

Authors: Xu Kang, Siqi Jiang, Kangwei Xu, Jiahao Li, Ruibo Wu

Institution: Sun Yat-sen University

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,500

Funder: National Natural Science Foundation of China