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ANN Based Virtual Classification Model for Discriminating Active and Inactive Withanolide E Analogs against Human Breast Cancer Cell Line MCF-7 Nature Precedings
Om Prakash; Feroz Khan; R.S. Sangwan.
Withanolides are a group of natural C-28 steroids built on an ergostane skeleton and classified into two major groups according to their structural skeleton: (a) compounds with a beta-oriented side chain and (b) compounds with an alpha-oriented side chain. Withanolide E represents one of the members of the latter group. Classification of active compounds on the basis of pharmacophore against specific cancer cell line poses a serious concern at the primary stage of virtual screening. To overcome this problem we have developed an artificial neural network based virtual screening model for discriminating active and non-active Withanolide-E-like derivatives or analogs against human breast cancer cell line MCF-7. In the present work, a 2D chemical descriptors...
Tipo: Poster Palavras-chave: Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/6616/version/1
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QSAR and Docking Studies of Gallic Acid Derivatives for Anticancer and Immunomodulatory Activity Nature Precedings
Dharmendra Kumar Yadav; Feroz Khan; Arvind Singh Negi.
Immuno-modulation is the process of alteration in immune response due to foreign intrusion of molecules inside the body. In the present communication QSAR and molecular docking studies for immuno-modulatory activity of derivatives of gallic acid were performed. Molecular docking studies showed higher binding affinity with INFα-2, IL-6, and IL-4 receptors. Binding site residues indicate hydrogen bonds formation with gallic acid derivative compounds G-3, G-4, G-5, G-6, G-7 and G-10. Further screening through quantitative structure activity relationship model establishes the immuno-modulatory activity of the compounds G-4, G-7, G-9, G-10, G-12 and G-13. Activity was predicted through a robust statistical model, developed by forward feed multiple...
Tipo: Presentation Palavras-chave: Biotechnology; Cancer; Chemistry; Pharmacology; Bioinformatics; Plant Biology.
Ano: 2011 URL: http://precedings.nature.com/documents/6620/version/1
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