Linked Life Data

16859307

Source:http://linkedlifedata.com/resource/pubmed/id/16859307

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2006-7-24
pubmed:abstractText
Auxins are defined mainly by a set of physiological actions, but the structure-effect relationship still is based on chemical intuition. Currently a well-defined auxin molecular structure is not available. The existence of different auxin binding proteins and mechanisms of auxin action, the wide diversity of the auxin molecules, and the pleiotropic effects of auxin imply a completely different mechanism as described for the animal hormone concept. Here, we present a computational approach dealing with semiempirical optimizations of the auxin molecules themselves, which represent a number of about 250 different chemical structures. Our approach uses molecular quantum similarity measures and additional quantum variables for the analysis of auxin-like molecules. The finding of similarities in molecules by focusing basically on their electron structure results in new insights in the relationship of the different auxin groups. Additional statistical analysis allows the identification of relationships between similarity groups and their biological activity, respectively. It is postulated that the auxin-like molecular recognition depends more on specific molecular assembling states than on a specific ring system or side chain.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1549-9596
pubmed:author
pubmed:issnType
Print
pubmed:volume
46
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1751-62
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:articleTitle
Coulomb and overlap self-similarities: a comparative selectivity analysis of structure-function relationships for auxin-like molecules.
pubmed:affiliation
Institute for Plant Genetics, University of Hannover, Herrenhäuser Strasse 2, D-30419 Hannover, Germany. nferro71@yahoo.es
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't