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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

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Published on: June 6, 2025

New benchmark for chemical nomenclature software.

Edward O Cannon¹

¹OpenEye Scientific Software , 9 Bisbee Court Suite D, Santa Fe, New Mexico 87508, USA. ed.cannon@eyesopen.com

Journal of Chemical Information and Modeling

|April 10, 2012

Summary

We developed a new benchmark, Percentage Round Tripping of Canonical Isomeric SMILES (%RTCS), to evaluate chemical nomenclature software. Our method achieves over 92% accuracy in converting chemical structures to names and back.

Area of Science:

Chemical informatics
Computational chemistry
Software development

Background:

Chemical nomenclature software is crucial for translating between chemical structures and names.
Evaluating the accuracy and robustness of this software is essential for reliable data exchange.
Existing benchmarks may not fully capture the complexities of chemical structure and nomenclature conversion.

Purpose of the Study:

To introduce a novel and robust benchmark, Percentage Round Tripping of Canonical Isomeric SMILES (%RTCS), for assessing chemical nomenclature software.
To provide a standardized method for evaluating the round-trip accuracy of chemical name-to-structure and structure-to-name conversions.
To quantify the performance of state-of-the-art chemical nomenclature toolkits on challenging datasets.

Main Methods:

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The %RTCS benchmark was developed based on string comparison of canonical isomeric SMILES.
Canonical isomeric SMILES were generated from original chemical structures and from structures derived from chemical names.
The benchmark was applied using the OpenEye chemical nomenclature toolkit, Lexichem v2.1.0.

Main Results:

The %RTCS benchmark demonstrated high performance across various challenging compound collections.
The OpenEye Lexichem v2.1.0 toolkit achieved an average %RTCS value exceeding 92%.
The results indicate a robust capability of the evaluated software in chemical nomenclature conversion.

Conclusions:

The %RTCS benchmark provides a reliable metric for evaluating chemical nomenclature software.
The high %RTCS values demonstrate the effectiveness of modern chemical nomenclature toolkits.
This benchmark will aid in the development and validation of future chemical informatics tools.