| dc.contributor.author |
Sharma, B K
|
|
| dc.contributor.author |
Pilania, Pradeep
|
|
| dc.contributor.author |
Singh, P
|
|
| dc.contributor.author |
Prabhakar, Y S
|
|
| dc.date.accessioned |
2012-03-05T10:05:04Z |
|
| dc.date.available |
2012-03-05T10:05:04Z |
|
| dc.date.issued |
2011 |
|
| dc.identifier.citation |
Journal of Enzyme Inhibition and Medicinal Chemistry, (2011), 26(3), 412-421 |
en_US |
| dc.identifier.uri |
http://hdl.handle.net/123456789/747 |
|
| dc.description.abstract |
The histamine H4 receptor binding affinity of 2-(4-Methylpiperazin-1-yl)quinoxaline derivatives have been quantitatively analyzed in terms of Dragon descriptors. The derived QSAR models have provided rationales to explain the activity of titled derivatives. The descriptors identified in CP-MLR analysis have highlighted the role of path/walk 4-Randic shape index (PW4), mean square distance index (MSD), topological charges (GGI9, JGI2 and JGI7), atomic properties in respective lags of 2D-autocorrelations (MATS7e, GATS7e and MATS8p) and Burden matrix (BELm1) to explain the binding affinity. Certain structural fragments (C-002 and C-027) have also shown prevalence to optimize the H4R binding affinity of titled compounds. The PLS analysis has also confirmed the dominance of information content of CP-MLR identified descriptors for modeling the activity. |
en_US |
| dc.format.extent |
869382 bytes |
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| dc.format.mimetype |
application/pdf |
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| dc.language.iso |
en |
en_US |
| dc.relation.ispartofseries |
cdricommuniction no.7960; |
|
| dc.subject |
QSAR |
en_US |
| dc.subject |
2-(4-Methylpiperazin-1-yl)quinoxalines |
en_US |
| dc.subject |
histamine H4 receptor (H4R) |
en_US |
| dc.subject |
Combinatorial protocol in multiple linear regression (CP-MLR) |
en_US |
| dc.subject |
partial least square (PLS) analysis |
en_US |
| dc.title |
A QSAR study on 2-(4-Methylpiperazin-1-yl) quinoxalines as human histamine H4 receptor ligands |
en_US |
| dc.type |
Article |
en_US |