Computational Modeling of Glycan Processing in the Golgi for Investigating Changes in the Arrangements of Biosynthetic Enzymes

Ben West; A Jamie Wood; Daniel Ungar

doi:10.1007/978-1-0716-1685-7_10

Computational Modeling of Glycan Processing in the Golgi for Investigating Changes in the Arrangements of Biosynthetic Enzymes

Research output: Contribution to journal › Article › peer-review

Abstract

Modeling glycan biosynthesis is becoming increasingly important due to the far-reaching implications that glycosylation can exhibit, from pathologies to biopharmaceutical manufacturing. Here we describe a stochastic simulation approach, to overcome the deterministic nature of previous models, that aims to simulate the action of glycan modifying enzymes to produce a glycan profile. This is then coupled with an approximate Bayesian computation methodology to systematically fit to empirical data in order to determine which set of parameters adequately describes the organization of enzymes within the Golgi. The model is described in detail along with a proof of concept and therapeutic applications.

Original language	English
Pages (from-to)	209-222
Number of pages	14
Journal	Methods in Molecular Biology
Volume	2370
DOIs	https://doi.org/10.1007/978-1-0716-1685-7_10
Publication status	Published - 6 Oct 2021

Bibliographical note

© 2022. Springer Science+Business Media, LLC, part of Springer Nature. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

Keywords

Bayes Theorem
Computer Simulation
Glycosylation
Golgi Apparatus/metabolism
Polysaccharides/metabolism

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10.1007/978-1-0716-1685-7_10

West et al Computational glycan processing model MiMB chapter
© 2022. Springer Science+Business Media, LLC, part of Springer Nature. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Accepted author manuscript, 395 KB

Development of a computational glycan engineering tool for biologics manufacturers
Ungar, D. (Principal investigator), Thomas-Oates, J. E. (Co-investigator) & Wood, A. J. (Co-investigator)
BBSRC (BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL)
4/01/21 → 31/01/23
Project: Research project (funded) › Research

Cite this

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abstract = "Modeling glycan biosynthesis is becoming increasingly important due to the far-reaching implications that glycosylation can exhibit, from pathologies to biopharmaceutical manufacturing. Here we describe a stochastic simulation approach, to overcome the deterministic nature of previous models, that aims to simulate the action of glycan modifying enzymes to produce a glycan profile. This is then coupled with an approximate Bayesian computation methodology to systematically fit to empirical data in order to determine which set of parameters adequately describes the organization of enzymes within the Golgi. The model is described in detail along with a proof of concept and therapeutic applications.",

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Computational Modeling of Glycan Processing in the Golgi for Investigating Changes in the Arrangements of Biosynthetic Enzymes

Abstract

Bibliographical note

Keywords

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Projects

Development of a computational glycan engineering tool for biologics manufacturers

Cite this