Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Pavlos, Kotidis"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 3287-3300 (2020)
With omics data being generated at an unprecedented rate, genome-scale modelling has become pivotal in its organisation and analysis. However, machine learning methods have been gaining ground in cases where knowledge is insufficient to represent the
Externí odkaz:
https://doaj.org/article/4189688ff16a4a0da3323dbea16a5dde
Autor:
Pavlos Kotidis, Cleo Kontoravdi
Publikováno v:
Metabolic Engineering Communications, Vol 10, Iss , Pp e00131- (2020)
Kinetic models offer incomparable insight on cellular mechanisms controlling protein glycosylation. However, their ability to reproduce site-specific glycoform distributions depends on accurate estimation of a large number of protein-specific kinetic
Externí odkaz:
https://doaj.org/article/f453dd666b70420bacc8f7ef190b38e0
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 7, p 3290 (2021)
The addition of nutrients and accumulation of metabolites in a fed-batch culture of Chinese hamster ovary (CHO) cells leads to an increase in extracellular osmolality in late stage culture. Herein, we explore the effect of osmolality on CHO cell grow
Externí odkaz:
https://doaj.org/article/7436712607ee4a188ad11acd33a596d5
Autor:
Ignacio Moya-Ramírez, Pavlos Kotidis, Masue Marbiah, Juhyun Kim, Cleo Kontoravdi, Karen Polizzi
Publikováno v:
ACS Synthetic Biology. 11:1303-1312
Coexistence of different populations of cells and isolation of tasks can provide enhanced robustness and adaptability or impart new functionalities to a culture. However, generating stable cocultures involving cells with vastly different growth rates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bc18ed962fced8211d1aae099a86695
https://doi.org/10.1021/acssynbio.1c00577
https://doi.org/10.1021/acssynbio.1c00577
Publikováno v:
Current Opinion in Biotechnology. 71:182-190
N-glycosylation is of paramount importance for understanding the mechanisms of various human diseases and ensuring the safety and efficacy of biotherapeutics. Traditional glycan analysis techniques include LC-based separations and MALDI-TOF-MS identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a78e3552ae07671cdd73ed09e11dcdc4
https://doi.org/10.1016/j.copbio.2021.07.013
https://doi.org/10.1016/j.copbio.2021.07.013
Autor:
Cleo Kontoravdi, Karen M. Polizzi, Stuart M. Haslam, Ioscani Jimenez del Val, Itzcóatl A. Gómez, Roberto Donini, Pavlos Kotidis, Masue Marbiah
Recombinant monoclonal antibodies bind specific molecular targets and, subsequently, induce an immune response or inhibit the binding of other ligands. However, monoclonal antibody functionality and half-life may be reduced by the type and distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e382a6890fa515ae8d929522c4ed86c2
http://hdl.handle.net/10044/1/97896
http://hdl.handle.net/10044/1/97896
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 3287-3300 (2020)
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 3287-3300 (2020)
Graphical abstract
With omics data being generated at an unprecedented rate, genome-scale modelling has become pivotal in its organisation and analysis. However, machine learning methods have been gaining ground in cases where knowledge is insuf
With omics data being generated at an unprecedented rate, genome-scale modelling has become pivotal in its organisation and analysis. However, machine learning methods have been gaining ground in cases where knowledge is insuf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::837c6431d9171c412796ff3ca02b408d
https://doi.org/10.1016/j.csbj.2020.10.011
https://doi.org/10.1016/j.csbj.2020.10.011
Autor:
Pavlos Kotidis, Roberto Donini, Johnny Arnsdorf, Anders Holmgaard Hansen, Bjørn Gunnar Rude Voldborg, Austin W.T. Chiang, Stuart M. Haslam, Michael Betenbaugh, Ioscani Jimenez del Val, Nathan E. Lewis, Frederick Krambeck, Cleo Kontoravdi
Publikováno v:
Kotidis, P, Donini, R, Arnsdorf, J, Hansen, A H, Voldborg, B G R, Chiang, A W T, Haslam, S M, Betenbaugh, M, Jimenez del Val, I, Lewis, N E, Krambeck, F & Kontoravdi, C 2022, ' CHOGlycoNET: Comprehensive glycosylation reaction network for CHO cells ', Metabolic Engineering, vol. 76, pp. 87-96 . https://doi.org/10.1016/j.ymben.2022.12.009
Chinese hamster ovary (CHO) cells are extensively used for the production of glycoprotein therapeutics proteins, for which N-linked glycans are a critical quality attribute due to their influence on activity and immunogenicity. Manipulation of protei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9c4ce3ae7c163ab17f6d45976286d5d
https://orbit.dtu.dk/en/publications/e3b57c88-ddef-4b08-a8b0-0490f1e1b7ba
https://orbit.dtu.dk/en/publications/e3b57c88-ddef-4b08-a8b0-0490f1e1b7ba
Autor:
Pavlos, Kotidis, Masue, Marbiah, Roberto, Donini, Itzcóatl A, Gómez, Ioscani Jimenez, Del Val, Stuart M, Haslam, Karen M, Polizzi, Cleo, Kontoravdi
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2370
The impact of the glycan distribution on the in vivo function and half-life of monoclonal antibodies has long motivated the genetic engineering of producer cells to achieve structures that enhance efficacy, safety and stability. To facilitate glycoen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0b6cdc781742fac744d69b123d41e459
https://pubmed.ncbi.nlm.nih.gov/34611868
https://pubmed.ncbi.nlm.nih.gov/34611868
Autor:
Pavlos Kotidis, Karen M. Polizzi, Ioscani Jimenez del Val, Cleo Kontoravdi, Stuart M. Haslam, Itzcóatl A Gómez, Masue Marbiah, Roberto Donini
Publikováno v:
Glycosylation ISBN: 9781071616840
The impact of the glycan distribution on the in vivo function and half-life of monoclonal antibodies has long motivated the genetic engineering of producer cells to achieve structures that enhance efficacy, safety and stability. To facilitate glycoen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f849a58cc56ce81834fc0ba029cf599e
https://doi.org/10.1007/978-1-0716-1685-7_7
https://doi.org/10.1007/978-1-0716-1685-7_7