DCM & SyMMES
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The CAZy database houses over 600,000 DNA sequences for glycoside hydrolases (GH), with less than 3% characterized for function and only 0.23% having a known structure. The diverse GH biodiversity presents potential biological targets for addressing diseases and plays a role in bio-catalysis for transforming bio-sourced glycopolymers in industries. The project focused on developing a method to selectively identify α-glucosidase enzymes in biological extracts. Bio-chips functionalized with iminosugars, nitrogen-containing glycomimetics, were employed for their selectivity toward α-glucosidases using surface plasmon resonance imaging (SPRi).
Arcane PhD student
Thibault Rancon
Supervisors
Sandrine Py & Aurélie Bouchet-Spinelli
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