Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Enzymatic and thermodynamic constraints"'
Publikováno v:
Synthetic and Systems Biotechnology, Vol 8, Iss 4, Pp 597-605 (2023)
Metabolic network models have become increasingly precise and accurate as the most widespread and practical digital representations of living cells. The prediction functions were significantly expanded by integrating cellular resources and abiotic co
Externí odkaz:
https://doaj.org/article/0ce408b0eb174e4b81e61e61cc285ec8
Akademický článek
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Autor:
Bi, Xinyu, Cheng, Yang, Xu, Xianhao, Lv, Xueqin, Liu, Yanfeng, Li, Jianghua, Du, Guocheng, Chen, Jian, Ledesma‐Amaro, Rodrigo, Liu, Long
Publikováno v:
Biotechnology & Bioengineering; Jun2023, Vol. 120 Issue 6, p1623-1639, 17p
Autor:
Yang, Xue1,2,3 (AUTHOR), Mao, Zhitao1,3 (AUTHOR), Zhao, Xin1,2,3 (AUTHOR), Wang, Ruoyu1,3 (AUTHOR), Zhang, Peiji1,3,4 (AUTHOR), Cai, Jingyi1,3 (AUTHOR), Xue, Chaoyou1,3 (AUTHOR), Ma, Hongwu1,3 (AUTHOR) ma_hw@tib.cas.cn
Publikováno v:
Metabolic Engineering. Sep2021, Vol. 67, p133-144. 12p.
Autor:
Yang, Qiuyu1,2 (AUTHOR), Zhao, Juntao1,2 (AUTHOR), Zheng, Yangyang1,2 (AUTHOR), Chen, Tao1,2 (AUTHOR), Wang, Zhiwen1,2 (AUTHOR) zww@tju.edu.cn
Publikováno v:
Molecules. Apr2023, Vol. 28 Issue 8, p3633. 22p.
Autor:
Bi, Xinyu1,2 (AUTHOR) bixinyu@stu.jiangnan.edu.cn, Liu, Yanfeng1,2 (AUTHOR) yanfengliu@jiangnan.edu.cn, Li, Jianghua1,2 (AUTHOR) lijianghua@jiangnan.edu.cn, Du, Guocheng1,2 (AUTHOR) gcdu@jiangnan.edu.cn, Lv, Xueqin1,2 (AUTHOR) lvxueqin@jiangnan.edu.cn, Liu, Long1,2 (AUTHOR) longliu@jiangnan.edu.cn
Publikováno v:
Biomolecules (2218-273X). May2022, Vol. 12 Issue 5, p721. 21p.
Publikováno v:
Metabolic Engineering. 67:133-144
Stoichiometric genome-scale metabolic network models (GEMs) have been widely used to predict metabolic phenotypes. In addition to stoichiometric ratios, other constraints such as enzyme availability and thermodynamic feasibility can also limit the ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78321c966e7c5959535edcda7cd11721
https://doi.org/10.1016/j.ymben.2021.06.005
https://doi.org/10.1016/j.ymben.2021.06.005
Stoichiometric genome-scale metabolic network models (GEMs) have been widely used to predict metabolic phenotypes. In addition to stoichiometric ratios, other constraints such as enzyme availability and thermodynamic feasibility can also limit the ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e75cb14ea243d7b432f2809117c4111
https://doi.org/10.1101/2020.11.30.403519
https://doi.org/10.1101/2020.11.30.403519
Autor:
Resendis-Antonio, Osbaldo1 resendis@ccg.unam.mx, Hernández, Magdalena1, Mora, Yolanda1, Encarnación, Sergio1 encarnac@ccg.unam.mx
Publikováno v:
PLoS Computational Biology. Oct2012, Vol. 8 Issue 10, p1-13. 13p. 1 Diagram, 1 Chart, 5 Graphs.
Autor:
Xue, Yang, Peiji, Zhang, Zhitao, Mao, Xin, Zhao, Ruoyu, Wang, Jingyi, Cai, Zhiwen, Wang, Hongwu, Ma
Publikováno v:
Sheng wu gong cheng xue bao = Chinese journal of biotechnology. 38(2)
Constraint-based genome-scale metabolic network models (genome-scale metabolic models, GEMs) have been widely used to predict metabolic phenotypes. In addition to stoichiometric constraints, other constraints such as enzyme availability and thermodyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f6e13687e6fb71980282be349b7b8e6d
https://pubmed.ncbi.nlm.nih.gov/35234380
https://pubmed.ncbi.nlm.nih.gov/35234380