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Published on: April 11, 2016
Using biological performance similarity to inform disaccharide library design
Tetsuya Tanikawa1, Micha Fridman, Wenjiang Zhu
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA.
Journal of the American Chemical Society
|March 21, 2009
Summary
This study developed methods to link stereochemistry in small-molecule libraries to biological performance. Understanding these structure-activity relationships aids in designing more effective drug discovery libraries.
Area of Science:
- Medicinal Chemistry
- Chemical Biology
- Drug Discovery
Background:
- Designing effective small-molecule discovery libraries requires understanding how synthesis choices impact biological activity.
- Stereochemistry is a critical structural feature that can significantly influence a molecule's biological performance.
Purpose of the Study:
- To develop methods for assessing the impact of stereochemical variations on the biological performance of small-molecule libraries.
- To identify which stereochemical features best predict similar biological performance across multiple assays.
- To guide synthesis decisions for future library development.
Main Methods:
- Preparation of a disaccharide library with systematic stereochemical variations.
- Assaying the library for diverse biological effects.
- Development of data-analysis methods to assess performance similarity and identify key stereochemical drivers.
Main Results:
- Established methods to quantitatively assess performance similarity between library members across multiple biological assays.
- Identified specific stereochemical features that correlate with similar or varied biological outcomes.
- Demonstrated a data-driven approach to link chemical structure to biological function.
Conclusions:
- The developed data-analysis approach can generalize to other chemical descriptors and biological assays.
- Prioritizing synthesis based on structure-performance relationships enhances second-generation library design.
- Identifying features causing performance variation guides the development of novel synthetic methodologies for optimal screening collections.

