Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/5622Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Srivastava, Soumya | - |
| dc.contributor.author | Srivastava, S K | - |
| dc.date.accessioned | 2009-07-30T06:01:28Z | - |
| dc.date.available | 2009-07-30T06:01:28Z | - |
| dc.date.issued | 2005-01 | - |
| dc.identifier.issn | 0975-0967 (Online); 0972-5849 (Print) | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/5622 | - |
| dc.description | 122-126 | en_US |
| dc.description.abstract | A quantitative structure activity relationship (QSAR) study on tetrasubstituted pyrazoles as high affinity ligands for the estrogen receptor (both ER and ERβ subtypes) have been performed using various combinations of hydrophobic (MlogP), steric (MR) and electronic (Xeq) descriptors. The regression analysis of the data has shown better results in multiparametric regressions upon introduction of dummy parameters (indicator variables). The results suggest that the binding affinity for ER and ERβ subtypes in tetrasubstituted pyrazoles is largely enhanced by the negative coefficient of MlogP and positive coefficient of MR descriptors. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | CSIR | en_US |
| dc.relation.ispartofseries | Int. Cl.7 A 61 K 38/00; C 07 D 231/00 | en_US |
| dc.source | IJBT Vol.4(1) [January 2005] | en_US |
| dc.subject | quantitative structure - activity relationship | en_US |
| dc.subject | estrogen receptors | en_US |
| dc.subject | tetrasubstituted pyrazoles | en_US |
| dc.title | Quantitative structure activity relationship study of pyrazole ligands binding to estrogen receptor- -selective agonists | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | IJBT Vol.04(1) [January 2005] | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJBT 4(1) 122-126.pdf | 136.52 kB | Adobe PDF | View/Open |
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.
and ERβ subtypes) have been performed using various combinations of hydrophobic (MlogP), steric (MR) and electronic (Xeq) descriptors. The regression analysis of the data has shown better results in multiparametric regressions upon introduction of dummy parameters (indicator variables). The results suggest that the binding affinity for ER