LEADER 04069nam 2200565 a 450 001 9910437622603321 005 20200520144314.0 010 $a1-4614-6157-X 024 7 $a10.1007/978-1-4614-6157-9 035 $a(CKB)2560000000103059 035 $a(EBL)1316889 035 $a(SSID)ssj0000885978 035 $a(PQKBManifestationID)11499640 035 $a(PQKBTitleCode)TC0000885978 035 $a(PQKBWorkID)10816156 035 $a(PQKB)10437179 035 $a(DE-He213)978-1-4614-6157-9 035 $a(MiAaPQ)EBC1316889 035 $a(PPN)186030622 035 $a(EXLCZ)992560000000103059 100 $a20121023d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aE-cell system $ebasic concepts and applications /$f[edited by] Satya Nanda Vel Arjunan, Pawan K. Dhar, Masaru Tomita 205 $a1st ed. 2013. 210 $aAustin, Tex. $cLandes Bioscience ;$aNew York $cSpringer Science+Business Media$dc2013 215 $a1 online resource (185 p.) 225 1 $aMolecular biology intelligence unit 300 $aDescription based upon print version of record. 311 $a1-4614-6156-1 320 $aIncludes bibliographical references and index. 327 $aIntroduction to whole cell modeling / Pawan K. Dhar -- Foundations of E-cell simulation environment architecture / Nathan Addy and Koichi Takahashi -- Distributed cell biology simulations with the E-cell system / Masahiro Sugimoto -- A guide to modeling reaction-diffusion of molecules with the E-cell system / Satya Nanda Vel Arjunan -- A model library of bacterial chemotaxis on E-cell system / Yuri Matsuzaki -- Electrophysiological simulation of developmental changes in action potentials of cardiomyocytes / Hitomi Itoh -- Simulation of human erythrocyte metabolism / Ayako Kinoshita -- Dynamic kinetic modeling of mitochondrial energy metabolism / Katsuyuki Yugi -- A computational model of the hepatic lobule / Yasuhiro Naito -- Decoding the signaling mechanism of toll-like receptor 4 pathways in wild type and knockouts / Kumar Selvarajoo ; Guest editor: Sankar Ghosh -- Modeling of Hsp70-mediated protein refolding / Bin Hu, Matthias P. Mayer, and Masaru Tomita. 330 $aThe interdisciplinary field of molecular systems biology aims to understand the behavior and mechanisms of biological processes composed of individual molecular components. As we gain more qualitative and quantitative information of complex intracellular processes, biochemical modeling and simulation become indispensable not only to uncover the molecular mechanisms of the processes, but to perform useful predictions. To this end, the E?Cell System, a multi?algorithm, multi?timescale object?oriented simulation platform, can be used to construct predictive virtual biological systems. Gene regulatory and biochemical networks that constitute a sub? or a whole cellular system can be constructed using the E?Cell System to perform qualitative and quantitative analyses. The purpose of E?Cell System: Basic Concepts and Applications is to provide a comprehensive guide for the E?Cell System version 3 in terms of the software features and its usage. While the publicly available E?Cell Simulation Environment version 3 User's Manual provides the technical details of model building and scripting, it does not describe some of the underlying concepts of the E?Cell System. The first part of the book addresses this issue by providing the basic concepts of modeling and simulation with the E?Cell System. 410 0$aMolecular biology intelligence unit. 606 $aCytology$xMathematical models 615 0$aCytology$xMathematical models. 676 $a572 701 $aArjunan$b Satya Nanda Vel$01764098 701 $aDhar$b Pawan K$01764099 701 $aTomita$b M$g(Masaru),$f1957-$01764100 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437622603321 996 $aE-cell system$94204829 997 $aUNINA