02131nam a22003378a 4500001001600000003000700016005001700023006001900040007001500059008004100074020002600115020002900141040002400170050002500194082001800219100003600237245010500273264005200378300005900430336002600489337002600515338003600541500007300577520096000650650002601610650001301636650001901649776003501668856007101703999001901774CR9780511736179UkCbUP20180107143412.0m|||||o||d||||||||cr||||||||||||100329s2011||||enk s ||1 0|eng|d a9780511736179 (ebook) z9781107001596 (hardback) aUkCbUPcUkCbUPerda00aQH324.2 b.P352 201100a572.802852221 aPalsson, Bernhard Ø.,eauthor.10aSystems Biology: Simulation of Dynamic Network States / [electronic resource]cBernhard Ø. Palsson. 1aCambridge :bCambridge University Press,c2011. a1 online resource (332 pages) :bdigital, PDF file(s). atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier aTitle from publisher's bibliographic system (viewed on 09 Oct 2015). aBiophysical models have been used in biology for decades, but they have been limited in scope and size. In this book, Bernhard Ø. Palsson shows how network reconstructions that are based on genomic and bibliomic data, and take the form of established stoichiometric matrices, can be converted into dynamic models using metabolomic and fluxomic data. The Mass Action Stoichiometric Simulation (MASS) procedure can be used for any cellular process for which data is available and allows a scalable step-by-step approach to the practical construction of network models. Specifically, it can treat integrated processes that need explicit accounting of small molecules and protein, which allows simulation at the molecular level. The material has been class-tested by the author at both the undergraduate and graduate level. All computations in the text are available online in MATLAB and MATHEMATICA® workbooks, allowing hands-on practice with the material. 0aComputational biology 0aGenomics 0aBioinformatics08iPrint version: z978110700159640uhttp://dx.doi.org/10.1017/CBO9780511736179zCambridge Books Online c236509d236509