1264-31-9
Chemical Structure
Glycolyl-CoA
- CAS No.: 1264-31-9
- Formula:C23H38N7O18P3S
- Molecular Weight:825.57
IUPAC Name: S-(2-(3-((2R)-4-(((((((2R,3S,4R,5R)-5-(6-amino-9H-purin-9-yl)-4-hydroxy-3-(phosphonooxy)tetrahydrofuran-2-yl)methoxy)(hydroxy)phosphoryl)oxy)(hydroxy)phosphoryl)oxy)-2-hydroxy-3,3-dimethylbutanamido)propanamido)ethyl) 2-hydroxyethanethioate
InChIKey: KLHKNYVUTZICKN-GRFIIANRSA-N
SMILES: O[C@@H]1[C@H](OP(O)(O)=O)[C@@H](COP(OP(OCC(C)(C)[C@@H](O)C(NCCC(NCCSC(CO)=O)=O)=O)(O)=O)(O)=O)O[C@H]1N2C=NC3=C(N)N=CN=C32
Biological Activity: Glycolyl-CoA is a carboxyl acceptor substrate and a FORCE/TaCo pathway metabolite, can be generated by HACL-mediated condensation of formyl-CoA with formaldehyde, and can also be formed from glycolate via glycolyl-CoA synthetase, is carboxylated by GCC to tartronyl-CoA and supports the tartronyl-CoA photorespiration bypass for carbon fixation, and simultaneously can serve as an intermediate in HB-5.2-catalyzed oxidative condensation of ethylene glycol. Glycolyl-CoA can be used for research on metabolic pathways and carbon fixation mechanisms[1][2][3][4][5][6].
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Glycolyl-CoA | Glycolyl-CoA is a carboxyl acceptor substrate and a FORCE/TaCo pathway metabolite, can be generated by HACL-mediated condensation of formyl-CoA with formaldehyde, and can also be formed from glycolate via glycolyl-CoA synthetase, is carboxylated by GCC to tartronyl-CoA and supports the tartronyl-CoA photorespiration bypass for carbon fixation, and simultaneously can serve as an intermediate in HB-5.2-catalyzed oxidative condensation of ethylene glycol. Glycolyl-CoA can be used for research on metabolic pathways and carbon fixation mechanisms. | |||||||||||||||||||||
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References
- [1]. Li W-J, et al. Unraveling 1,4-Butanediol Metabolism in Pseudomonas putida KT2440. Front. Microbiol. 11:382 (2020).
- [2]. Orrego AH, et al. A Multi-Functional Heterogeneous Biocatalyst for the Oxygen-Free Oxidative Condensation of Primary Alcohols into β‑Hydroxy Acids. ACS catalysis. 2026 Jan 16;16(2):1192-1210. [Content Brief]
- [3]. Yin X, et al. Extending the Farquhar-von Caemmerer-Berry photosynthesis model to account for various photorespiratory bypasses. The New phytologist. 2026 Nov;252(3):1327-1342. [Content Brief]
- [4]. Singhal R, et al. Using supervised machine-learning approaches to understand abiotic stress tolerance and design resilient crops. Philosophical Transactions of the Royal Society B: Biological Sciences. 2025 May 29;380(1927).
- [5]. Marchal DG, et al. Machine Learning-Supported Enzyme Engineering toward Improved CO-Fixation of Glycolyl-CoA Carboxylase. ACS synthetic biology. 2023 Dec 15;12(12):3521-3530. [Content Brief]
- [6]. Kim S, et al. Glycolaldehyde: from a prebiotic hub to a synthetic biology hub for sustainable biomanufacturing. Systems Microbiology and Biomanufacturing. 2026 Jul;6(4):127.
