LEADER 02963oam 2200517z 450 001 9910136803403321 005 20230621140123.0 010 $a9782889197545 (ebook) 035 $a(CKB)3710000000631100 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/44410 035 $a(EXLCZ)993710000000631100 100 $a20191103c2016uuuu uu | 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCurrent challenges in modeling cellular metabolism /$fedited by Daniel Machado, Kai H. Zhuang, Nikolaus Sonnenschein and Markus J. Herrgård 210 $cFrontiers Media SA$d2016 210 1$aSwitzerland :$cFrontiers Media SA,$d2016 215 $a1 online resource (115 pages) $cillustrations 225 1 $aFrontiers Research Topics 320 $aIncludes bibliographical references. 330 $aMathematical and computational models play an essential role in understanding the cellular metabolism. They are used as platforms to integrate current knowledge on a biological system and to systematically test and predict the effect of manipulations to such systems. The recent advances in genome sequencing techniques have facilitated the reconstruction of genome-scale metabolic networks for a wide variety of organisms from microbes to human cells. These models have been successfully used in multiple biotechnological applications. Despite these advancements, modeling cellular metabolism still presents many challenges. The aim of this Research Topic is not only to expose and consolidate the state-of-the-art in metabolic modeling approaches, but also to push this frontier beyond the current edge through the introduction of innovative solutions. The articles presented in this e-book address some of the main challenges in the field, including the integration of different modeling formalisms, the integration of heterogeneous data sources into metabolic models, explicit representation of other biological processes during phenotype simulation, and standardization efforts in the representation of metabolic models and simulation results. 606 $aCellular biology 606 $aMetabolism 606 $aMetabolic engineering 610 $acomputational methods 610 $aMetabolic Engineering 610 $aCellular metabolism 610 $aMetabolic Regulation 610 $amodeling formalisms 610 $aSystems Biology 610 $aphenotype simulation 610 $aMathematical Models 615 0$aCellular biology. 615 0$aMetabolism. 615 0$aMetabolic engineering. 700 $aDaniel Machado$4auth$01367186 702 $aMarkus J. Herrgard$4auth 702 $aKai H. Zhuang$4auth 702 $aNikolaus Sonnenschein$4auth 801 0$bUkMaJRU 912 $a9910136803403321 996 $aCurrent challenges in modeling cellular metabolism$93389915 997 $aUNINA