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Updated: May 15, 2026

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

ChemEx: information extraction system for chemical data curation.

Atima Tharatipyakul¹, Somrak Numnark, Duangdao Wichadakul

¹Information Systems Laboratory, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phaholyothin Road, Klong 1, Klong Luang, Pathumthani, Thailand.

BMC Bioinformatics

|January 4, 2013

Summary

This summary is machine-generated.

ChemEx automates chemical data curation by extracting compounds, organisms, and assays from publications. This system combines text mining and structure image recognition to improve data accuracy and accessibility.

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Area of Science:

Biomedical Informatics
Cheminformatics
Scientific Literature Analysis

Background:

Manual chemical data curation from scientific publications is inefficient, prone to errors, and difficult to keep current.
Automated information extraction offers a solution to these challenges in data management.
Extracting chemical information requires integrating both text mining and chemical structure image recognition.

Purpose of the Study:

To develop an automated system for chemical information extraction from scientific literature.
To address the limitations of manual data curation in terms of speed, accuracy, and maintainability.

Main Methods:

Developed ChemEx, a chemical information extraction system processing both text and images.
Implemented a text annotator to identify compound, organism, and assay entities.
Integrated structure image recognition to convert chemical raster images into machine-readable formats.

Main Results:

ChemEx successfully extracts key chemical entities (compounds, organisms, assays) from publications.
The system provides users with annotated text and summarized information on compounds and associated assays.
Structure image recognition enables the conversion of chemical images to a usable digital format.

Conclusions:

ChemEx significantly accelerates and enhances chemical data curation from extensive publication collections.
The developed software and corpus are available for download, promoting wider adoption and research.
Automated extraction of compounds, organisms, and assays improves the efficiency of scientific data management.