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10.1002/wsbm.1379 http://scihub22266oqcxt.onion/10.1002/wsbm.1379 C5573916!5573916!28186392     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Wiley+Interdiscip+Rev+Syst+Biol+Med 2017 ; 9 (4): ä Nephropedia Template TP {{tp|p=28186392|t=2017. Understanding the mTOR signaling pathway via mathematical modeling |pdf=|usr=}}{{28186392}} gab.com Text Understanding the mTOR signaling pathway via mathematical modeling JO: Wiley Interdiscip Rev Syst Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=28186392 #FOAvip The mechanistic target of rapamycin (mTOR) is a central regulatory pathway that integrates a variety of environmental cues to control cellular growth and homeostasis by intricate molecular feedbacks. In spite of extensive knowledge about its components, the molecular understanding of how these function together in space and time remains poor and there is a need for Systems Biology approaches to perform systematic analyses. In this work, we review the recent progress how the combined efforts of mathematical models and quantitative experiments shed new light on our understanding of the mTOR signaling pathway. In particular, we discuss the modeling concepts applied in mTOR signaling, the role of multiple feedbacks and the crosstalk mechanisms of mTOR with other signaling pathways. We also discuss the contribution of principles from information and network theory that have been successfully applied in dissecting design principles of the mTOR signaling network. We finally propose to classify the mTOR models in terms of the time scale and network complexity, and outline the importance of the classification toward the development of highly comprehensive and predictive models. WIREs Syst Biol Med 2017, 9:e1379. doi: 10.1002/wsbm.1379For further resources related to this article, please visit the WIREs website. Twit Text FOAVip Understanding the mTOR signaling pathway via mathematical modeling ????Wiley Interdiscip Rev Syst Biol Med http://www.kidney.de/pget.php?&tw=1&pmid=28186392 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28186392 #FOAvip English Wikipedia <ref>{{Cite pmid|28186392}}</ref> Understanding the mTOR signaling pathway via mathematical modeling #MMPMID28186392 Sulaimanov N; Klose M; Busch H; Boerries M Wiley Interdiscip Rev Syst Biol Med 2017[Jul]; 9 (4): ä PMID28186392show ga The mechanistic target of rapamycin (mTOR) is a central regulatory pathway that integrates a variety of environmental cues to control cellular growth and homeostasis by intricate molecular feedbacks. In spite of extensive knowledge about its components, the molecular understanding of how these function together in space and time remains poor and there is a need for Systems Biology approaches to perform systematic analyses. In this work, we review the recent progress how the combined efforts of mathematical models and quantitative experiments shed new light on our understanding of the mTOR signaling pathway. In particular, we discuss the modeling concepts applied in mTOR signaling, the role of multiple feedbacks and the crosstalk mechanisms of mTOR with other signaling pathways. We also discuss the contribution of principles from information and network theory that have been successfully applied in dissecting design principles of the mTOR signaling network. We finally propose to classify the mTOR models in terms of the time scale and network complexity, and outline the importance of the classification toward the development of highly comprehensive and predictive models. WIREs Syst Biol Med 2017, 9:e1379. doi: 10.1002/wsbm.1379For further resources related to this article, please visit the WIREs website. äUnderstanding the mTOR signaling pathway via mathematical modeling (epmc).pdf DeepDyve Pubget Overpricing