LEADER 01029nam--2200361---450 001 990000650100203316 005 20221024103408.0 010 $a88-238-0310-1 035 $a0065010 035 $aUSA010065010 035 $a(ALEPH)000065010USA01 035 $a0065010 100 $a20010928d1995----km-y0itay0103----ba 101 $aeng 102 $aIT 105 $a||||||||001yy 200 1 $aLegal English$fGiuliana Garzone, Franco Miglioli, Rita Salvi 210 $aMilano$cEGEA$dc1995 215 $aXI, 539 p.$d23 cm 225 2 $aLezioni e letture di lingue$v23 410 $12001$aLezioni e letture di lingue$v23 606 0 $aLingua inglese$xTerminologia giuridica$xEsercitazioni 676 $a428 700 1$aGARZONE,$bGuliana$0548087 701 1$aMIGLIOLI,$bFranco$0411714 701 1$aSALVI,$bRita$0165328 801 0$aIT$bsalbc$gISBD 912 $a990000650100203316 951 $aX 32 XXXVI 23$b9937 G$cX 32 XXXVI 959 $aBK 969 $aGIU 996 $aLegal English$9959505 997 $aUNISA LEADER 03227nam 2200373z- 450 001 9910161647503321 005 20210212 035 $a(CKB)3710000001041989 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57443 035 $a(oapen)doab57443 035 $a(EXLCZ)993710000001041989 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aQuantitative Systems Biology for Engineering Organisms and Pathways 210 $cFrontiers Media SA$d2016 215 $a1 online resource (126 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-829-4 330 $aStudying organisms as a whole for potential metabolic(ally) engineering of organisms for production of (bio)chemicals is essential for industrial biotechnology. To this end, integrative analysis of different -omics measurements (transciptomics, proteomics, metabolomics, fluxomics) provides invaluable information. Combination of experimental top-down and bottom-up approaches with powerful analytical tools/techniques and mathematical modeling, namely (quantitative) systems biology, currently making the state of art of this discipline, is the only practice that would improve our understanding for the purpose. The use of high-throughput technologies induced the required development of many bioinformatics tools and mathematical methods for the integration of obtained data. Such research is significant since compiling information from different levels of a living system and connecting them is not an easy task. In particular, construction of dynamic models for product improvement has been one of the goals of many research groups. In this Research Topic, we summarize and bring a general review of the most recent and relevant contributions in quantitative systems biology applied in metabolic modeling perspective. We want to make special emphasis on the techniques that can be widely implemented in regular scientific laboratories and in those works that include theoretical presentations. With this Research Topic we discuss the importance of applying systems biology approaches for finding metabolic engineering targets for the efficient production of the desired biochemical integrating information from genomes and networks to industrial production. Examples and perspectives in the design of new industrially relevant chemicals, e.g. increased titer/productivity/yield of (bio)chemicals, are welcome. Addition to the founded examples, potential new techniques that would frontier the research will be part of this topic. The significance of multi 'omics' approaches to understand/uncover the pathogenesis/mechanisms of metabolic diseases is also one of the main topics. 606 $aBiotechnology$2bicssc 610 $aCell factories 610 $aMetabolic Engineering 610 $aSystems Biology 615 7$aBiotechnology 700 $aAlvaro R. Lara$4auth$01305916 702 $aHilal Taymaz-Nikerel$4auth 906 $aBOOK 912 $a9910161647503321 996 $aQuantitative Systems Biology for Engineering Organisms and Pathways$93028014 997 $aUNINA