Please use this identifier to cite or link to this item:
http://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/4074
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Reddy D.G | |
dc.contributor.author | Kunala P | |
dc.contributor.author | Raavi D | |
dc.contributor.author | Reddy P.K.K | |
dc.contributor.author | Prasad R.V.V.S. | |
dc.date.accessioned | 2020-06-12T15:02:17Z | - |
dc.date.available | 2020-06-12T15:02:17Z | - |
dc.date.issued | 2015 | |
dc.identifier.citation | Journal of Receptors and Signal Transduction , Vol. 35 , 2 , p. 189 - 201 | en_US |
dc.identifier.uri | 10.3109/10799893.2014.948556 | |
dc.identifier.uri | http://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/4074 | - |
dc.description.abstract | In this study we have performed pharmacophore modeling and built a 3D QSAR model for pyrido-indole derivatives as Janus Kinase 2 inhibitors. An efficient pharmacophore has been identified from a data set of 51 molecules and the identified pharmacophore hypothesis consisted of one hydrogen bond acceptor, two hydrogen bond donors and three aromatic rings, i.e. ADDRRR. A powerful 3D-QSAR model has also been constructed by employing Partial Least Square regression analysis with a regression coefficient of 0.97 (R2) and Q2 of 0.95, and Pearson-R of 0.98. © 2014 Informa Healthcare USA, Inc. | en_US |
dc.publisher | Informa Healthcare | |
dc.subject | 3D-QSAR | |
dc.subject | Glide docking | |
dc.subject | JAK2 | |
dc.subject | Pharmacophore | |
dc.subject | PHASE | |
dc.subject | Pyrido-indole | |
dc.title | Structural insights of JAK2 inhibitors: Pharmacophore modeling and ligand-based 3D-QSAR studies of pyrido-indole derivatives | en_US |
dc.type | Article | |
Appears in Collections: | 1. Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.