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The ITS2 Database
Published on: March 12, 2012
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Automated evaluation of consistency within the PubChem Compound database
Hesam Dashti1,2, Jonathan R Wedell2, William M Westler2
1Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02215, USA.
Scientific Data
|February 20, 2019
Summary
We developed a new method to identify errors in chemical databases. This approach uses unique identifiers to ensure data accuracy and improve links between scientific databases.
Area of Science:
- Chemical informatics
- Computational chemistry
- Database management
Background:
- Data curation and remediation are crucial for aggregated databases.
- Identifying discrepant data is a key challenge in maintaining data integrity.
Purpose of the Study:
- To apply the ALATIS approach to the PubChem Compound database.
- To generate unique and reproducible compound and atom identifiers.
- To identify discrepancies in chemical structures, formulas, and InChI strings.
Main Methods:
- Utilized the ALATIS approach, based on the international chemical identifier (InChI) model.
- Processed the entire PubChem Compound database for entries with available 3D structures.
- Generated unique identifiers for compounds and atoms.
Main Results:
- Successfully generated unique compound and atom identifiers for PubChem entries with 3D structures.
- Identified discrepancies between existing structures, chemical formulas, and InChI strings.
- Established a foundation for more rigorous data linking.
Conclusions:
- The ALATIS approach effectively identifies data discrepancies in large chemical databases.
- Unique identifiers enhance data integrity and facilitate cross-database linking.
- Publicly available results support further research and data curation efforts.
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