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Toward a Comprehensive Treatment of Tautomerism in Chemoinformatics Including in InChI V2
Devendra K Dhaked1, Wolf-Dietrich Ihlenfeldt2, Hitesh Patel1
1Computer-Aided Drug Design Group, Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, NIH, Frederick, Maryland 21702, United States.
This study introduces 86 tautomeric interconversion rules, enhancing chemical structure databases. Applying these rules could triple the number of compounds affected by tautomerism in InChI V2, improving chemical informatics.
Area of Science:
- Chemical informatics
- Computational chemistry
- Cheminformatics
Background:
- Tautomerism is a fundamental chemical concept involving the interconversion of isomers.
- Existing chemical structure databases and identifiers like InChI have limitations in fully representing tautomeric forms.
- The International Union of Pure and Applied Chemistry (IUPAC) InChI Project aims to improve tautomer handling in chemical identifiers.
Purpose of the Study:
- To collect and analyze a comprehensive set of tautomeric interconversion rules.
- To evaluate the impact of these rules on chemical databases and the InChI standard.
- To inform the redesign of tautomerism handling for future InChI versions.
Main Methods:
- Compilation of 86 tautomeric interconversion rules from experimental literature and the CACTVS toolkit.
- Analysis of rule occurrence, overlap, and coverage against nine large chemical databases (over 400 million structures).
- Evaluation of tautomer set recapitulation by InChI V.1.05 (Standard and Nonstandard versions with 15T and KET options).
Main Results:
- The 86 rules encompass prototropic, ring-chain, and valence tautomerism.
- Analysis revealed occurrence rates, overlaps, and InChI recapitulation capabilities of the rules.
- Applying these rules could potentially triple the number of compounds affected by tautomerism in databases using InChI V2.
Conclusions:
- The developed set of tautomerism rules provides a significant expansion over current methods.
- These rules are crucial for improving the accuracy and completeness of chemical structure representation in informatics.
- The findings directly contribute to the IUPAC InChI Project's goal of enhancing tautomer handling in InChI V2.
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