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Similarity screening of molecular data sets
A C Good1, E E Hodgkin, W G Richards
1Physical Chemistry Laboratory, Oxford University, U.K.
Journal of Computer-Aided Molecular Design
|October 1, 1992
Summary
Molecular similarity calculations rapidly screen large three-dimensional (3D) database search results. This method efficiently analyzes potential new active molecules, aiding drug discovery by assessing structural and electronic similarities.
Area of Science:
- Computational chemistry
- Cheminformatics
- Drug discovery
Background:
- Three-dimensional (3D) database searches are crucial for identifying novel active molecules.
- Large datasets generated by these searches necessitate efficient screening methods.
Purpose of the Study:
- To evaluate molecular similarity calculations as a rapid screening tool for large 3D database search results.
- To assess the utility of molecular similarity in analyzing datasets from specific molecular structure and pharmacophore searches.
Main Methods:
- Application of molecular similarity calculations to two distinct datasets.
- Dataset 1: Screening synthetic candidates from a tendamistat beta-turn mimic search.
- Dataset 2: Examining structures from a histamine pharmacophore query based on electronic similarity to histamine.
Main Results:
- Molecular similarity effectively screened large datasets, providing rapid insights into dataset composition.
- The method demonstrated utility in evaluating beta-turn backbone imitation and electronic similarity to histamine.
Conclusions:
- Molecular similarity calculations offer a fast and insightful approach for analyzing large 3D molecular databases.
- This technique has significant implications for optimizing future 3D database search strategies in drug discovery.