The mathematics of a successful deconvolution: A quantitative assessment of mixture-based combinatorial libraries screened against two formylpeptide receptors

Radleigh G. Santos, Jon R. Appel, Marc A. Giulianotti, Bruce S. Edwards, Larry A. Sklar, Richard A. Houghten, Clemencia Pinilla

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

In the past 20 years, synthetic combinatorial methods have fundamentally advanced the ability to synthesize and screen large numbers of compounds for drug discovery and basic research. Mixture-based libraries and positional scanning deconvolution combine two approaches for the rapid identification of specific scaffolds and active ligands. Here we present a quantitative assessment of the screening of 32 positional scanning libraries in the identification of highly specific and selective ligands for two formylpeptide receptors. We also compare and contrast two mixture-based library approaches using a mathematical model to facilitate the selection of active scaffolds and libraries to be pursued for further evaluation. The flexibility demonstrated in the differently formatted mixture-based libraries allows for their screening in a wide range of assays.

Original languageEnglish (US)
Pages (from-to)6408-6424
Number of pages17
JournalMolecules
Volume18
Issue number6
DOIs
StatePublished - Jun 2013
Externally publishedYes

Keywords

  • Combinatorial libraries
  • Formylpeptide receptors
  • Harmonic mean mixture model
  • Mathematical modeling
  • Mixture-based libraries

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