Noel Ferro, Patrick Bultinck, Ana Gallegos, Hans-Jörg Jacobsen, Ramon Carbo-Dorca, Thomas Reinard
Index: Phytochemistry 68(2) , 237-50, (2007)
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An computational-biostatistical approach, supported by ab initio optimizations of auxin-like molecules, was used to find biologically meaningful relationships between quantum chemical variables and fresh bioassay's data. It is proven that the auxin-like recognition requires different molecular assembling states. We suggest that the carboxyl group is not the determining factor in explaining the biological auxin-like conduct. The biological effects depends essentially on the chemical condition of the ring system. The aim to find active molecules (quantum objects) via statistical grouping-analysis of molecular quantum similarity measures was verified by bioactivity assays. Next, this approach led to the discovery of a non-carboxylated active auxin-like molecule (2,6-dibromo-phenol). This is the first publication on structure activity relationship of auxin-like molecules, which relies on highly standardized bioassays of different auxins screened in parallel as well as analysed by multi-dimensional scaling.
Structure | Name/CAS No. | Molecular Formula | Articles |
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2,6-Dibromophenol
CAS:608-33-3 |
C6H4Br2O |
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