Please use this identifier to cite or link to this item: http://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/4074
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dc.contributor.authorReddy D.G
dc.contributor.authorKunala P
dc.contributor.authorRaavi D
dc.contributor.authorReddy P.K.K
dc.contributor.authorPrasad R.V.V.S.
dc.date.accessioned2020-06-12T15:02:17Z-
dc.date.available2020-06-12T15:02:17Z-
dc.date.issued2015
dc.identifier.citationJournal of Receptors and Signal Transduction , Vol. 35 , 2 , p. 189 - 201en_US
dc.identifier.uri10.3109/10799893.2014.948556
dc.identifier.urihttp://gukir.inflibnet.ac.in:8080/jspui/handle/123456789/4074-
dc.description.abstractIn 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.publisherInforma Healthcare
dc.subject3D-QSAR
dc.subjectGlide docking
dc.subjectJAK2
dc.subjectPharmacophore
dc.subjectPHASE
dc.subjectPyrido-indole
dc.titleStructural insights of JAK2 inhibitors: Pharmacophore modeling and ligand-based 3D-QSAR studies of pyrido-indole derivativesen_US
dc.typeArticle
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