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Title: Modelling and analysis of human energy metabolic network
Researcher: Abhishek Sengupta
Guide(s): Dr. Sarika Saxena
Keywords: HEPNet, human energy metabolism, Abhishek Sengupta, Amity University, Modeling, Simulation
University: Amity University
Completed Date: 20/10/2015
Abstract: The thesis presents an electronic outlook of the representation of HEPNet, where manual curation is an added advantage. It can be subjected to plethora of automated simulation to study the effect of ATP generation/loss in a wide range of metabolic diseases and physiological states. For example, the amount of glucose consumed during exercise or starvation could be calculated. All the reactions are compartmentalized and hence the model will be useful in metabolic and metabolomic diagnostics. Its usage is vast and not limited to glycaemia or uremia but even open up dimensions to work upon metabolic biomarkers for the diagnosis of cancer. We envision developing the HEPNet version 2.0 where we intend to use it in case of acid lipase disease (error in fat digestion), Farber s disease (storage of fats in joints) where a deterministic approach would be necessary. Hyperoxalourea or disease of the urea cycle can even be identified by the faulty flux behavior since HEPNet works on the basis of the energy pool. Another disease named the von Gierke s disease affecting storage of Type I glycogen could be diagnosed and counter measures can be taken where HEPNet serves as a model for such case, ATP playing a major role.
Pagination: NA
Appears in Departments:Amity Institute of Biotechnology

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biomd0000000579.pdf1.26 MBAdobe PDFView/Open
chapter 1.docx3.03 MBMicrosoft Word XMLView/Open
chapter 2.docx12.83 MBMicrosoft Word XMLView/Open
chapter 3.docx356.08 kBMicrosoft Word XMLView/Open
chapter 4.docx2.19 MBMicrosoft Word XMLView/Open
chapter 5.docx5.26 MBMicrosoft Word XMLView/Open
chapter 6.docx27.27 kBMicrosoft Word XMLView/Open
chapter 7.docx58.15 kBMicrosoft Word XMLView/Open
contents.docx20.77 kBMicrosoft Word XMLView/Open

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