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Research Article

Development of a robust QSAR model to predict the affinity of pyrrolidine analogs for dipeptidyl peptidase IV (DPP- IV)

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Pages 129-140 | Received 23 Oct 2009, Accepted 15 Mar 2010, Published online: 08 Feb 2011

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A.M. Al-Fakih, Z.Y. Algamal, M.H. Lee, M. Aziz & H.T.M. Ali. (2019) A QSAR model for predicting antidiabetic activity of dipeptidyl peptidase-IV inhibitors by enhanced binary gravitational search algorithm. SAR and QSAR in Environmental Research 30:6, pages 403-416.
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Areej Abuhammad & Mutasem O. Taha. (2016) QSAR studies in the discovery of novel type-II diabetic therapies. Expert Opinion on Drug Discovery 11:2, pages 197-214.
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Sharat Chandra, Jyotsana Pandey, Akhilesh K. Tamrakar & Mohammad Imran Siddiqi. (2017) SVMDLF: A novel R-based Web application for prediction of dipeptidyl peptidase 4 inhibitors. Chemical Biology & Drug Design 90:6, pages 1173-1183.
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Zohreh Amini, Mohammad Hossein Fatemi & Sajjad Gharaghani. (2016) Hybrid docking-QSAR studies of DPP-IV inhibition activities of a series of aminomethyl-piperidones. Computational Biology and Chemistry 64, pages 335-345.
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Xiaoyan Yang, Minjie Li, Qiang Su, Milin Wu, Tianhong Gu & Wencong Lu. (2013) QSAR studies on pyrrolidine amides derivatives as DPP-IV inhibitors for type 2 diabetes. Medicinal Chemistry Research 22:11, pages 5274-5283.
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Tianhong Gu, Xiaoyan Yang, Minjie Li, Milin Wu, Qiang Su, Wencong Lu & Yuhui Zhang. (2013) Predicting the DPP-IV Inhibitory Activity Based on Their Physicochemical Properties . BioMed Research International 2013, pages 1-7.
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Sarvesh Paliwal, Mahima Pal, Divya Yadav, Supriya Singh & Rakesh Yadav. (2011) Ligand-based drug design studies using predictive pharmacophore model generation on 4H-1,2,4-triazoles as AT1 receptor antagonists. Medicinal Chemistry Research 21:9, pages 2307-2315.
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