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ChemBioChem
Article . 2024 . Peer-reviewed
License: Wiley Online Library User Agreement
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ChemBioChem
Article . 2024
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Chemical Modification of Insulin Using Flow Chemistry

Authors: Haoyu Chen; Narendra Kumar Mishra; Manuel C. Martos‐Maldonado; Sandie Roholm; Kasper K. Sørensen; Knud J. Jensen;

Chemical Modification of Insulin Using Flow Chemistry

Abstract

AbstractChemical modification of proteins is of growing importance to generate new molecular probes for chemical biology and for the development of new biopharmaceuticals. For example, two approved, long‐acting insulin variants are lipidated at the LysB29 side‐chain. Acylations of proteins have so far been performed in batch‐mode. Here we describe the use of flow chemistry for site‐selective acylation of a small protein, insulin. To the best of our knowledge this is the first report on flow chemistry for chemical modification of insulin. The first step was to develop reaction conditions for acylation of Lys B29 that gave a soluble mixture and thus was compatible with flow chemistry in a microreactor; this included selection of a soluble base. Secondly, the conditions, such as reagent ratios and flow rate were optimized. Third, the use of these conditions for the acylation with a wide range of acids was demonstrated. Finally, Boc‐protected insulins were synthesized. Insulin remained stable towards these flow chemistry conditions. This use of flow chemistry for the chemical modification of insulin opens the prospect of producing chemically modified biopharmaceuticals by flow chemistry with fewer byproducts.

Country
Denmark
Keywords

Flow chemistry 3, Protein modification 1, Acylation, Lysine, Insulin, Humans, Biopharmaceutical 4, Insulin acylation 2, Therapeutics 5

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green