Unrevealed structural requirements for auxin-like molecules by theoretical and experimental evidences

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OriginalspracheEnglisch
FachzeitschriftPhytochemistry
Jahrgang2007
Ausgabenummer68:2
PublikationsstatusVeröffentlicht - 2007

Abstract

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. ?? 2006 Elsevier Ltd. All rights reserved.

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Unrevealed structural requirements for auxin-like molecules by theoretical and experimental evidences. / Reinard, Thomas; Ferro, Noel.
in: Phytochemistry, Jahrgang 2007, Nr. 68:2, 2007.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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title = "Unrevealed structural requirements for auxin-like molecules by theoretical and experimental evidences",
abstract = "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. ?? 2006 Elsevier Ltd. All rights reserved.",
author = "Thomas Reinard and Noel Ferro",
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AU - Reinard, Thomas

AU - Ferro, Noel

N1 - Funding information: This work was supported by a grant from the Deutsche Akademischer Austauschdienst (DAAD) to N.F. and also by continuous support from the National Fund for Scientific Research in Flanders (FWO-Vlaanderen).

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N2 - 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. ?? 2006 Elsevier Ltd. All rights reserved.

AB - 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. ?? 2006 Elsevier Ltd. All rights reserved.

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DO - 10.1016/j.phytochem.2006.10.006

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VL - 2007

JO - Phytochemistry

JF - Phytochemistry

SN - 0031-9422

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