A Markov chain model for N-linked protein glycosylation--towards a low-parameter tool for model-driven glycoengineering.

ABSTRACT: Glycosylation is a critical quality attribute of most recombinant biotherapeutics. Consequently, drug development requires careful control of glycoforms to meet bioactivity and biosafety requirements. However, glycoengineering can be extraordinarily difficult given the complex reaction networks underlying glycosylation and the vast number of different glycans that can be synthesized in a host cell. Computational modeling offers an intriguing option to rationally guide glycoengineering, but the high parametric demands of current modeling approaches pose challenges to their application. Here we present a novel low-parameter approach to describe glycosylation using flux-balance and Markov chain modeling. The model recapitulates the biological complexity of glycosylation, but does not require

SUBMITTER: Spahn PN 

PROVIDER: S-EPMC5031499 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature