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Updated: Oct 7, 2025
07:50
Author Spotlight: Integrating 2D-HPLC-MS and Molecular Networking in Natural Medicine Analysis
Published on: December 8, 2023
737
HIT 2.0: an enhanced platform for Herbal Ingredients' Targets
Deyu Yan1, Genhui Zheng1, Caicui Wang1
1Dept. of Gastroenterology, Shanghai Tenth People's Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Nucleic Acids Research
|January 6, 2022
Summary
HIT 2.0 is a new database of herbal ingredient targets, updated with literature from 2000-2020. It aids mechanistic studies and drug discovery by providing extensive compound-target data and automated literature mining.
Area of Science:
- Pharmacology
- Bioinformatics
- Natural Products Chemistry
Background:
- Understanding herbal ingredient mechanisms and targets is crucial for drug discovery.
- Existing databases often lack updated information, necessitating new resources.
- Herbal medicine research requires comprehensive, curated target data.
Purpose of the Study:
- To construct HIT 2.0, an updated database of Herbal Ingredients' Targets.
- To facilitate mechanistic studies and new drug discovery from herbal sources.
- To provide users with tools for automatic target mining and personal target curation.
Main Methods:
- Curated data from PubMed literature between 2000-2020.
- Included compound-target activity pairs, molecular targets (genes/proteins), and regulated genes.
- Integrated crosslinks to numerous biological databases (TTD, DrugBank, KEGG, etc.).
- Developed automatic target mining and personal target curation functionalities.
Main Results:
- HIT 2.0 contains 10,031 compound-target activity pairs.
- Covers 2208 targets and 1237 ingredients from over 1250 herbs.
- Enables retrieval of the latest abstracts and personal target profiling.
- Provides access to comprehensive herbal ingredient target information.
Conclusions:
- HIT 2.0 is a valuable, up-to-date resource for herbal medicine research.
- The database supports drug discovery and mechanistic studies of herbal compounds.
- Automated features enhance data accessibility and user-driven research.
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