Summary
Low-throughput screening for bioactive substances often represents the only way to discover new ligands of a drug target. This limits the number of compounds that can be tested for bioactivity. In such a situation, the design of small, focused compound libraries provides an alternative to the concept of large, maximally diverse screening collections. We present the technique of “adaptive” compound library design, which implements a simulated evolutionary process. Compound assembly and determination of bioactivity can be performed using computer-based methods (virtual screening), or in the laboratory. We show that there exists an optimal combination of the size of a screening library and the number of iterative screening rounds with the aim to keep experimental efforts at a minimum.
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Acknowledgments
The authors would like to thank Dr. L. Weber for providing the Ugi-type compound database. This work was supported by the Beilstein-Institut zur Förderung der Chemischen Wissenschaften, the DFG Sonderforschungsbereich 579 (project A11.2), and the Fonds der Chemischen Industrie.
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Schneider, G., Schüller, A. (2010). Adaptive Combinatorial Design of Focused Compound Libraries. In: Roque, A. (eds) Ligand-Macromolecular Interactions in Drug Discovery. Methods in Molecular Biology, vol 572. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60761-244-5_8
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DOI: https://doi.org/10.1007/978-1-60761-244-5_8
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