Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Diana Széliová"'
Autor:
Viktor Laurin Sedlmayr, Diana Széliová, Veerke De Kock, Yannick Gansemans, Filip Van Nieuwerburgh, Eveline Peeters, Julian Quehenberger, Jürgen Zanghellini, Oliver Spadiut
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Overflow metabolism is a well-known phenomenon that describes the seemingly wasteful and incomplete substrate oxidation by aerobic cells, such as yeasts, bacteria, and mammalian cells, even when conditions allow for total combustion via respiration.
Externí odkaz:
https://doaj.org/article/8bfd793e02df4276bf25be5773f88434
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1012236 (2024)
Genome-scale metabolic models (GSMMs) offer a holistic view of biochemical reaction networks, enabling in-depth analyses of metabolism across species and tissues in multiple conditions. However, comparing GSMMs Against each other poses challenges as
Externí odkaz:
https://doaj.org/article/76f5939ea13c489e9d747553242b679f
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Ribosomes are key to cellular self-fabrication and limit growth rate. While most enzymes are proteins, ribosomes consist of 1/3 protein and 2/3 ribonucleic acid (RNA) (in E. coli). Here, we develop a mechanistic model of a self-fabricating c
Externí odkaz:
https://doaj.org/article/1bd374533e0e4d2e977dac43cd43b214
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/af69cf7dac2c4262a32f10250a5eef9e
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 2, p e1009843 (2022)
Traditional (genome-scale) metabolic models of cellular growth involve an approximate biomass "reaction", which specifies biomass composition in terms of precursor metabolites (such as amino acids and nucleotides). On the one hand, biomass compositio
Externí odkaz:
https://doaj.org/article/be87220670d04d02813ec8a0a7a6ff99
Autor:
Diana Széliová, Jerneja Štor, Isabella Thiel, Marcus Weinguny, Michael Hanscho, Gabriele Lhota, Nicole Borth, Jürgen Zanghellini, David E Ruckerbauer, Isabel Rocha
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009022 (2021)
Chinese hamster ovary (CHO) cells are the leading platform for the production of biopharmaceuticals with human-like glycosylation. The standard practice for cell line generation relies on trial and error approaches such as adaptive evolution and high
Externí odkaz:
https://doaj.org/article/3f6e3e27cbca41a8845046f16e44f498
Autor:
Leopold Zehetner, Diana Széliová, Barbara Kraus, Michael Graninger, Jürgen Zanghellini, Juan A. Hernandez Bort
Publikováno v:
Biotechnology Journal.
Publikováno v:
Current Opinion in Biotechnology. 71:9-17
Metabolic modeling strives to develop modeling approaches that are robust and highly predictive. To achieve this, various modeling designs, including hybrid models, and parameter estimation methods that define the type and number of parameters used i
Traditional (genome-scale) metabolic models of cellular growth involve an approximate biomass “reaction”, which specifies biomass composition in terms of precursor metabolites (such as amino acids and nucleotides). On the one hand, biomass compos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a23756bc6772f435af3b35757ef36576
https://doi.org/10.1101/2021.10.31.466640
https://doi.org/10.1101/2021.10.31.466640
Autor:
Gabriele Lhota, Diana Széliová, David E. Ruckerbauer, Nicole Borth, Jerneja Štor, Isabel Rocha, Marcus Weinguny, Isabella Thiel, Michael Hanscho, Jürgen Zanghellini
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009022 (2021)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
PLoS Computational Biology
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
PLoS Computational Biology
Chinese hamster ovary (CHO) cells are the leading platform for the production of biopharmaceuticals with human-like glycosylation. The standard practice for cell line generation relies on trial and error approaches such as adaptive evolution and high