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ErtlFunctionalGroupsFinder: automated rule-based functional group detection with the Chemistry Development Kit (CDK).
Sebastian Fritsch1, Stefan Neumann1, Jonas Schaub2
1GNWI - Gesellschaft für naturwissenschaftliche Informatik, Oer-Erkenschwick, Germany.
Journal of Cheminformatics
|June 6, 2019
Summary
The Ertl algorithm efficiently detects functional groups in organic molecules using the Chemistry Development Kit. This method enables rapid analysis of large chemical databases, impacting drug discovery and cheminformatics.
Area of Science:
- Cheminformatics
- Computational Chemistry
- Drug Discovery
Background:
- Automated functional group (FG) detection is crucial for analyzing organic molecules in large chemical databases.
- The Chemistry Development Kit (CDK) provides tools for cheminformatics analysis, including molecular representation and property calculation.
- Different aromaticity models within CDK can influence the accuracy and outcome of FG detection.
Purpose of the Study:
- To implement and evaluate the Ertl algorithm for automated functional group (FG) detection and extraction.
- To assess the impact of different CDK aromaticity models on FG analysis.
- To determine the performance and scalability of the Ertl algorithm for large-scale compound database processing.
Main Methods:
- Implementation of the Ertl algorithm using the Chemistry Development Kit (CDK).
- Functional group analysis of compounds from the ChEMBL database.
- Performance evaluation based on FG extraction time per molecule.
Main Results:
- The Ertl algorithm was successfully implemented within the CDK framework.
- A significant impact of the chosen CDK aromaticity model on FG detection results was observed.
- The algorithm achieved an average processing time of less than one millisecond per molecule, demonstrating high efficiency.
Conclusions:
- The Ertl algorithm, when implemented with CDK, provides an efficient method for automated FG detection.
- The choice of aromaticity model in CDK critically affects FG analysis outcomes.
- The algorithm's speed makes it suitable for rapid analysis of extensive chemical compound libraries.
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