The ONSChallenge has been running for some time now and the simple web query form that tied in the data from Google Docs along with web services from IU has turned out to be pretty handy. With more and more data becoming available, I had done some initial exploratory analysis of the measured solubilities. One thing that is useful to the experimentalists is a suggestion of which compound to test next. This could be made on the basis of many factors – availability, ease of synthesis and so on. But one way to look at it is to examine what types of compounds have been tested previously, and suggest that the subsequent compounds be very different from those that have been tested.
Posts Tagged ‘diversity’
Houghten, R. et al, “Strategies for the Use of Mixture-Based Synthetic Combinatorial Libraries: Scaffold Ranking, Direct Testing In Vivo, and Enhanced Deconvolution by Computational Methods”, J. Comb. Chem., 2008, 10, 3-19
Recently a collaborator pointed me to the above article by Houghten and co-workers where they describe the use of mixture-based combinatorial libraries for high-throughput screening (HTS) experiments.
Traditionally an HTS experiment will screen thousands to millions of individual molecules. Obviously, it’s all done by robots so though you have to be careful during setup it’s not like you have to do it all by hand. But the fact is, if it’s possible to reduce the actual number of individual screens, life becomes easier and cheaper. Houghten et al describe an elegant approach that does just this.