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ACS Comb Sci. 2011 May 9;13(3):223-31. doi: 10.1021/co100033m. Epub 2011 Apr 18.

Compound acquisition and prioritization algorithm for constructing structurally diverse compound libraries.

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Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.


In the present study, we report a compound acquisition and prioritization algorithm established for rational chemical library purchasing or compound synthesis to increase the diversity of an existing compound collection. This method was established based on a chemistry-space calculation using BCUT (Burden CAS University of Texas) descriptors. To identify the acquisition of compounds from candidate collections into the existing collection, a derived distance-based selection rule was applied, and the results were well supported by pairwise similarity calculations and cell-partition statistics in chemistry space. The correlation between chemistry-space distance and Tanimoto similarity index was also studied to justify the compound acquisition strategy through weighted linear regression. As a rational approach for library design, the distance-based selection rule exhibits certain advantages in prioritizing compound selection to enhance the overall structural diversity of an existing in-house compound collection or virtual combinatorial library for in silico screening, diversity oriented synthesis, and high-throughput screening.

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