Ioscani Jiménez Del Val

Dr. Ioscani Jiménez Del Val


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 September 2014 in Biotechnology and Bioengineering
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Journal Article
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YFYuzhou Fan
Yuzhou Fan
IIoscani Jiménez Del Val
Ioscani Jiménez Del Val
CMChristian Müller
Christian Müller
JSJette Wagtberg Sen
Jette Wagtberg Sen
SRSøren Kofoed Rasmussen
Søren Kofoed Rasmussen
MAMikael Rørdam Andersen
Mikael Rørdam Andersen

28 September 2011 in Biotechnology Progress
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Journal Article
Closed access
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IIoscani Jiménez Del Val
Ioscani Jiménez Del Val
JNJudit M. Nagy
Judit M. Nagy
Cleo KontoravdiCleo Kontoravdi
Cleo Kontoravdi

1 November 2010 in Biotechnology Progress
Verified
Journal Article
Closed access
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IIoscani Jiménez Del Val
Ioscani Jiménez Del Val
Cleo KontoravdiCleo Kontoravdi
Cleo Kontoravdi
JNJudit M Nagy
Judit M Nagy

1 June 2021 in Current Opinion in Chemical Engineering
Verified
Journal Article
Open access
ATApostolos Tsopanoglou
Apostolos Tsopanoglou
IIoscani Jiménez Del Val
Ioscani Jiménez Del Val

25 February 2019 in Biotechnology and Bioengineering
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Journal Article
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PKPavlos Kotidis
Pavlos Kotidis
PJPhilip Jedrzejewski
Philip Jedrzejewski
SSSi Nga Sou
Si Nga Sou
CSChristopher Sellick
Christopher Sellick
KPKaren Marie Polizzi
Karen Marie Polizzi
Cleo KontoravdiCleo Kontoravdi
Cleo Kontoravdi

Verified
Journal Article
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PJPhilip M. Jedrzejewski
Philip M. Jedrzejewski
IIoscani Jiménez Del Val
Ioscani Jiménez Del Val
ACAntony Constantinou
Antony Constantinou
ADAnne Dell
Anne Dell
SHStuart Haslam
Stuart Haslam
Cleo KontoravdiCleo Kontoravdi
Cleo Kontoravdi
Glycoproteins represent the largest group of the growing number of biologically-derived medicines. The associated glycan structures and their distribution are known to have a large impact on pharmacokinetics. A modelling framework was developed to provide a link from the extracellular environment and its effect on intracellular metabolites to the distribution of glycans on the constant region of an antibody product. The main focus of this work is the mechanistic in silico reconstruction of the nucleotide sugar donor (NSD) metabolic network by means of 34 species mass balances and the saturation kinetics rates of the 60 metabolic reactions involved. NSDs are the co-substrates of the glycosylation process in the Golgi apparatus and their simulated dynamic intracellular concentration profiles were linked to an existing model describing the distribution of N-linked glycan structures of the antibody constant region. The modelling framework also describes the growth dynamics of the cell population by means of modified Monod kinetics. Simulation results match well to experimental data from a murine hybridoma cell line. The result is a modelling platform which is able to describe the product glycoform based on extracellular conditions. It represents a first step towards the in silico prediction of the glycoform of a biotherapeutic and provides a platform for the optimisation of bioprocess conditions with respect to product quality.