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Articles

Development of pharmacophore similarity-based quantitative activity hypothesis and its applicability domain: applied on a diverse data-set of HIV-1 integrase inhibitors

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Pages 706-722 | Received 05 Jan 2014, Accepted 21 Mar 2014, Published online: 15 Apr 2014

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Pretisha Flora Cutinho, Jaydeep Roy, Avinash Anand, Ravishankar Cheluvaraj, Manikanta Murahari & H. S. Venkataramana Chimatapu. (2020) Design of metronidazole derivatives and flavonoids as potential non-nucleoside reverse transcriptase inhibitors using combined ligand- and structure-based approaches. Journal of Biomolecular Structure and Dynamics 38:6, pages 1626-1648.
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Articles from other publishers (5)

Sivakumar Prasanth Kumar. (2018) Receptor pharmacophore ensemble (REPHARMBLE): a probabilistic pharmacophore modeling approach using multiple protein-ligand complexes. Journal of Molecular Modeling 24:10.
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Sivakumar Prasanth Kumar, Chirag N. Patel, Prakash C. Jha & Himanshu A. Pandya. (2017) Molecular dynamics-assisted pharmacophore modeling of caspase-3-isatin sulfonamide complex: Recognizing essential intermolecular contacts and features of sulfonamide inhibitor class for caspase-3 binding. Computational Biology and Chemistry 71, pages 117-128.
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Ma’mon M. Hatmal, Shadi Jaber & Mutasem O. Taha. (2016) Combining molecular dynamics simulation and ligand-receptor contacts analysis as a new approach for pharmacophore modeling: beta-secretase 1 and check point kinase 1 as case studies. Journal of Computer-Aided Molecular Design 30:12, pages 1149-1163.
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Sivakumar Prasanth Kumar & Prakash Chandra Jha. (2016) Multi-level structure-based pharmacophore modelling of caspase-3-non-peptide complexes: Extracting essential pharmacophore features and its application to virtual screening. Chemico-Biological Interactions 254, pages 207-220.
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Md Ataul Islam & Tahir S. Pillay. (2016) Structural requirements for potential HIV-integrase inhibitors identified using pharmacophore-based virtual screening and molecular dynamics studies. Molecular BioSystems 12:3, pages 982-993.
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