000			02704nam a22002537a 4500
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008			220103b |||||||| |||| 00| 0 eng d
020			_a9781351646147
020			_a1351646141
040			_cCUHAS-BUGANDO
100			_a Jayajit Das _927413
245			_aSystems Immunology _bAn Introduction to Modeling Methods for Scientists _cFoundations of Biochemistry and Biophysics
250			_a illustrated
260			_aLondon _bCRC Press _c2018
300			_a354 pages
520			_a"Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. Readers from immunology, quantitative biology, and applied physics will benefit from the following: Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels. An overview of basic concepts in modeling and data analysis. Coverage of topics where mechanistic modeling has contributed substantially to current understanding. Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.
600			_x Science / Physics / General _927414
600			_x Medical / Immunology _926958
600			_x Mathematics / Applied _927415
600			_xScience › Physics › General _927416
700			_aCiriyam Jayaprakash _927417
942			_2ddc _cEB
999			_c3614 _d3614