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S. Tomic*,**, R. R. Gabdoulline *, B. Kojic-Prodic ** and R. C. Wade *
*European Molecular Biology Laboratory, 69012 Heidelberg,
Germany
**Institute Rudjer Boskovic, HR-10000 Zagreb, Croatia
Publication date: May 20 1998 23:05:00 GMT
We previously developed and applied a procedure employing similarity indices to classify auxin compounds according to their interaction properties. The compounds were divided into four classes, according to their molecular interaction energy fields (MIFs): active, weakly active with weak antiauxin behaviour, inactive and inhibitory. The MIFs of different compounds were compared by computing similarity indices. Here, using this method, the activities of a new set of auxin-related compounds are predicted and a new 3D library of about 70 auxin-related compounds is presented using Chemscape Chime. We derive a distribution of the compounds in 3D space according to their similarity indices and visualize it with the MAGE program. Analysis of this distribution enables rationalization of the correlations between the classes.
Abbreviations: MIF: molecular interaction field; IAA: indole-3-acetic
acid; SI: similarity index; Me: methyl; Et: ethyl; Pr: propyl; Bu: butyl