توضیحات
ABSTRACT
The extraction of some effective features that can represent the identities of different classes plays a critical factor for any classification problems involving the analysis of complex data. Fuzzy systems are an alternative to traditional notions of set membership and logic that has its origins in ancient Greek philosophy, and applications at the leading edge of Artificial Intelligence. Yet, despite its long-standing origins, it is a relatively new field, and as such leaves much room for development. In this paper we apply a fuzzy logic to the analysis of a large, systematic dataset describing the dynamics of cell signaling downstream of TNF, EGF and Insulin receptors regulating cell survival and cell death. Simulations based on fuzzy logic recapitulate most features of the data and generate several predictions involving pathway crosstalk and regulation. The system modeling for cell survival and cell death has been implemented using Fuzzy Logic Toolbox software with MATLAB which is technical computing software as a tool for solving problems. The results obtain will give information on how the input signals inducing cell survival/death should be modulated to achieve desire outputs and thus helps the experimentalists to design proposals regarding possible improvements to cell survival/ cell death.
INTRODUCTION
Computational modeling is useful as a means to assemble and test what we know about the proteins and networks. Models can help address key questions about the measurement, definition and function of proteomic networks. The ability of cells to sense their environment and decide to survive or die is dependent largely upon growth factors. This work examines signaling networks that control the survival/ death decision treated with combinations of three primary signals (Gaudet et al. 2000, Janes et al. 2005, Weixin et al. 2006) the pro death cytokine, tumor necrosis factor-α (TNF) ( Brokhaus et al. 1990, Thoma et al. 1990) and the pro survival growth factors, epidermal growth factor (EGF) ( Libermann et al. 1984, Normanno et al. 2006) and insulin ( Lizcano et al. 2002, Morris 1997, 2003). Members of the TNF receptor super family play pivotal roles in numerous biological events in organisms. Ligand-mediated trimerization by corresponding homo- or heterotrimeric ligands, the TNF family ligands, causes recruitment of several intracellular adaptors, which activate multiple signal transduction pathways.
Year: 2012
Publisher : Bioinformatics
By : SHRUTI JAIN , AND PRADEEP K. NAIK
File Information: English Language/ 16 Page / size: 520 KB
Download: click
سال : 2012
ناشر : Bioinformatics
کاری از : SHRUTI JAIN , AND PRADEEP K. NAIK
اطلاعات فایل : زبان انگلیسی / 16 صفحه / حجم : KB 520
لینک دانلود : روی همین لینک کلیک کنید
نقد و بررسیها
هنوز بررسیای ثبت نشده است.