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Journal of Receptors and Signal Transduction Volume 35, 2015 - Issue 2
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Research Article

Structural insights of JAK2 inhibitors: pharmacophore modeling and ligand-based 3D-QSAR studies of pyrido-indole derivatives

Deepak Reddy GadeDepartment of Pharmaceutical Chemistry, Jawaharlal Nehru Technological University-OTRI, Anantapur, Andhra Pradesh, India, Correspondence[email protected]
,
Pavan KunalaDepartment of Biology, Arkansas State University, Jonesboro, AR, USA,
,
Divya RaaviDepartment of Bioinformatics, Gulbarga University, Gulbarga, Karnataka, India,
,
Pavan Kumar Reddy KDepartment of Pharmaceutical Chemistry, Gland Institute of Pharmaceutical Sciences, Hyderabad, India and
&
Rajendra Prasad V.V.S.Medicinal Chemistry Research Division, Vishnu Institute of Pharmaceutical Education and Research, Narsapur, Telangana, India
Pages 189-201 | Received 01 Jun 2014, Accepted 21 Jul 2014, Published online: 20 Aug 2014

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Dakshinamurthy Sasikala, Jeyaraman Jeyakanthan & Pappu Srinivasan. (2016) Structural insights on identification of potential lead compounds targeting WbpP in Vibrio vulnificus through structure-based approaches. Journal of Receptors and Signal Transduction 36:5, pages 515-530.
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Articles from other publishers (4)

Zhenwu Yang, Yujia Tian, Yue Kong, Yushan Zhu & Aixia Yan. (2022) Classification of JAK1 Inhibitors and SAR Research by Machine Learning Methods. Artificial Intelligence in the Life Sciences 2, pages 100039.
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Saw Simeon & Nathjanan Jongkon. (2019) Construction of Quantitative Structure Activity Relationship (QSAR) Models to Predict Potency of Structurally Diversed Janus Kinase 2 Inhibitors. Molecules 24:23, pages 4393.
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Sathya Babu, Santhosh Kumar Nagarajan & Thirumurthy Madhavan. (2019) Understanding the structural features of JAK2 inhibitors: a combined 3D-QSAR, DFT and molecular dynamics study. Molecular Diversity 23:4, pages 845-874.
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Deepak Reddy Gade, Amareswararao Makkapati, Rajesh Babu Yarlagadda, Godefridus J. Peters, B.S. Sastry & V.V.S. Rajendra Prasad. (2018) Elucidation of chemosensitization effect of acridones in cancer cell lines: Combined pharmacophore modeling, 3D QSAR, and molecular dynamics studies. Computational Biology and Chemistry 74, pages 63-75.
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