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Article
Use and Implications of the Harmonic Mean Model on Mixtures for Basic Research and Drug Discovery
ACS Combinatorial Science
  • Radleigh Santos, Torrey Pines Institute for Molecular Studies
  • Marc Giulianotti, Torrey Pines Institute for Molecular Studies
  • Colette T. Dooley, Torrey Pines Institute for Molecular Studies
  • Clemencia Pinilla, Torrey Pines Institute for Molecular Studies
  • Jon R. Appel, Torrey Pines Institute for Molecular Studies
  • Richard A. Houghten, Torrey Pines Institute for Molecular Studies
Document Type
Article
Publication Date
3-11-2011
Keywords
  • combinatorial libraries,
  • drug discovery,
  • harmonic mean model,
  • mixture activity
Abstract

The use of the harmonic mean model for predicting the activities of a given mixture and its constituents has not previously been explored in the context of combinatorial libraries and drug discovery. Herein, the analyses of historical data confirm the harmonic mean as an accurate predictor of mixture activity. The implications of these results are discussed.

Comments

Copyright © 2011 American Chemical Society

DOI
10.1021/co100065a
Citation Information
Radleigh Santos, Marc Giulianotti, Colette T. Dooley, Clemencia Pinilla, et al.. "Use and Implications of the Harmonic Mean Model on Mixtures for Basic Research and Drug Discovery" ACS Combinatorial Science Vol. 13 Iss. 3 (2011) p. 337 - 344 ISSN: 2156-8952
Available at: http://works.bepress.com/radleigh-santos/5/