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Integration of in silico modeling, prediction by binding energy and experimental approach to study the amorphous chitin nanocarriers for cancer drug delivery

Publication Type : Journal Article

Thematic Areas : Nanosciences and Molecular Medicine

Publisher : Carbohydrate Polymers, Elsevier Ltd,

Source : Carbohydrate Polymers, Elsevier Ltd, Volume 142, p.240-249 (2016)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84957605008&partnerID=40&md5=dcea5cd15c28fb27985bdc5158c0dddf

Keywords : Binding energy, Bins, Cancer drug deliveries, Cell death, chitin, curcumin, Diseases, Drug delivery, drug delivery system, Drug Interactions, Drug products, Drug-loading efficiency, Experimental approaches, Experimental techniques, Nanoparticles, Polymer drugs, virtual screening

Campus : Kochi

School : Center for Nanosciences

Center : Amrita Center for Nanosciences and Molecular Medicine Move, Nanosciences

Department : Nanosciences, Nanosciences and Molecular Medicine

Year : 2016

Abstract : In silico modeling of the polymer-drug nanocarriers have now days became a powerful virtual screening tool for the optimization of new drug delivery systems. The interactions between amorphous chitin nanoparticles (AC-NPs) with three different types of anti-cancer drugs such as curcumin, docetaxel and 5-flurouracil were studied by integration of computational and experimental techniques. The drug entrapment and drug loading efficiency of these three drugs with AC-NPs were (98 ± 1%), (77 ± 2%), and (47 ± 12%), respectively. Further, cytotoxicity and cellular uptake studies of drug loaded AC-NPs on Gastric adenocarcinoma (AGS) cells showed enhanced drug uptake and cancer cell death. In silico binding energy (BE) between AC-NPs with these anti-cancer drugs were studied by molecular docking technique. Computational drug's BEs are in excellent agreement with experimental AC-NPs drug loading (R2 = 0.9323) and drug entrapment (R2 = 0.9741) efficiencies. Thus, present integrated study revealed significant insight on chemical nature, strength, and putative interacting sites of anti-cancer drugs with AC-NPs. © 2016 Elsevier Ltd. All rights reserved.

Cite this Research Publication : P. Geetha, Sivaram, A. J., Dr. Jayakumar Rangasamy, and Dr. Gopi Mohan C., “Integration of in silico modeling, prediction by binding energy and experimental approach to study the amorphous chitin nanocarriers for cancer drug delivery”, Carbohydrate Polymers, vol. 142, pp. 240-249, 2016.

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