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Updated: Mar 24, 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

libChEBI: an API for accessing the ChEBI database.

Neil Swainston¹, Janna Hastings², Adriano Dekker²

¹Manchester Centre for Synthetic Biology of Fine and Specialty Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN UK ; European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD UK.

Journal of Cheminformatics

|March 3, 2016

Summary

This summary is machine-generated.

A new API library, libChEBI, provides easy programmatic access to the Chemical Entities of Biological Interest (ChEBI) database. This tool enhances cheminformatics software development by simplifying access to comprehensive chemical data.

Keywords:

API ChEBI Cheminformatics Database Java Library MATLAB Python

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Area of Science:

Cheminformatics
Bioinformatics
Chemical Biology

Background:

Chemical Entities of Biological Interest (ChEBI) is a curated database and ontology for chemical compounds.
ChEBI provides identifiers, chemical data, and relationships for over 46,500 chemical entities.
Existing access methods via web services and downloads lack direct API support for cheminformatics software.

Purpose of the Study:

To introduce libChEBI, a novel API library for programmatic access to the ChEBI database.
To facilitate the integration of ChEBI data into cheminformatics workflows and software.
To address the need for a dedicated library for efficient ChEBI data retrieval.

Main Methods:

Development of libChEBI as a comprehensive API library.
Implementation in Java, Python, and MATLAB for broad accessibility.
Utilization of regularly updated flat files for local data access, enabling offline use.

Main Results:

libChEBI offers full programmatic access to the entire ChEBI database.
The library provides a simple, documented API for easy integration.
Available in multiple programming languages, supporting diverse cheminformatics applications.

Conclusions:

libChEBI enhances the development of cheminformatics software by simplifying ChEBI data access.
The library enables quick and easy retrieval of all ChEBI data through a unified API.
All libChEBI code is open access and freely available for research and development.