کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6370311 | 1623853 | 2014 | 23 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Memory effects in biochemical networks as the natural counterpart of extrinsic noise
ترجمه فارسی عنوان
اثرات حافظه در شبکه های بیوشیمی به عنوان همسایگی طبیعی نویز بیرونی
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کلمات کلیدی
زیر شبکه ها، کاهش مدل، عملکرد حافظه، شبکه های متقابل پروتئین،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی
We show that in the generic situation where a biological network, e.g. a protein interaction network, is in fact a subnetwork embedded in a larger “bulk” network, the presence of the bulk causes not just extrinsic noise but also memory effects. This means that the dynamics of the subnetwork will depend not only on its present state, but also its past. We use projection techniques to get explicit expressions for the memory functions that encode such memory effects, for generic protein interaction networks involving binary and unary reactions such as complex formation and phosphorylation. Remarkably, in the limit of low intrinsic copy-number noise such expressions can be obtained even for nonlinear dependences on the past. We illustrate the method with examples from a protein interaction network around epidermal growth factor receptor (EGFR), which is relevant to cancer signalling. These examples demonstrate that inclusion of memory terms is not only important conceptually but also leads to substantially higher quantitative accuracy in the predicted subnetwork dynamics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 357, 21 September 2014, Pages 245-267
Journal: Journal of Theoretical Biology - Volume 357, 21 September 2014, Pages 245-267
نویسندگان
Katy J. Rubin, Katherine Lawler, Peter Sollich, Tony Ng,