Mapping Chemical Space Using Molecular Descriptors and Chemical Genetics: Deacetylase Inhibitors

Stephen   J.   Haggarty; Paul   A.   Clemons; Jason   C.   Wong; Stuart   L.   Schreiber

doi:10.2174/1386207043328319

Abstract

An objective of chemical genetics is to understand the relationships between the structures of small molecules and their phenotypic effects in intact living systems. We present here the results of a global analysis of a molecular descriptor space constructed using structural descriptors of an aryl 1, 3-dioxane-based diversity-oriented synthesis-derived library containing structural biasing elements directed at inhibiting protein deacetylases. Using principal component analysis and three-dimensional visualization, we generated metric space maps with morphological features contributed by different diversity positions within the library. Filtering these maps using phenotypic descriptors derived from measurements of small-molecule activities in an array of cell-based assays revealed different densities of biological activity within specific subspaces. These results provide evidence that certain structural features may be important for conferring potency and selectivity on deacetylase inhibitors with respect to tubulin and histone acetylation. Moreover, these results highlight an example of the importance of usin g functional measures to assess molecular diversity. Similar analyses of other chemical spaces and activity classes promise to facilitate the development of chemical genetics.

Keywords: deacetylase inhibitors, chemical genetics, molecular descriptors, principal components analysis

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