Glycoinformatics-guided Glycan Synthesis Service
Precision Glycans Synthesis Crafted by Intelligent Design
Glycobioinformatics is defined as the application of bioinformatics in glycoscience. It is an emerging high-throughput method for the illustration, modeling, and study of glycans. CD BioGlyco is an unparalleled glycobiology company dedicated to serving global enterprises, universities, and research institutes with various carbohydrate-related services, such as Carbohydrate Synthesis, Glycomics Analysis, Carbohydrate-based Drug Development, etc. To help clients conduct glycobiological research more efficiently with the help of computational tools and artificial intelligence, we have constructed a unique Glycobioinformatics Platform to provide clients with the following services:
We combine bioinformatics, computational tools, and synthetic chemistry to design and synthesize glycans, which mainly include two aspects:
Glycoinformatics-guided glycan synthesis service is as follows:
Design of Glycan Synthesis Routes Using Computational Tools and Artificial Intelligence
Use extensive glycan database information to analyze glycan structure and structure-activity relationship, and combine enzyme database information to determine possible glycan synthesis schemes and screen out the optimal route.
Glycan Synthesis
Collect a variety of synthesis techniques (such as solid phase synthesis and protecting group strategy) to synthesize target compounds according to the proposed synthesis route. During the reaction, use bioinformatics tools to continuously optimize the reaction conditions.
Glycan Structure Characterization
Use a variety of methods to characterize the synthesized target compounds, such as high-performance liquid chromatography (HPLC), nuclear magnetic resonance (NMR), and mass spectrometry (MS).
Glycan Bioactivity Analysis
According to the specific requirements of clients, evaluate the bioactivity of glycans on target targets, such as target enzyme activity test and cell activity test.
Publication
Technology: Computational modeling of O-linked glycan biosynthesis
Journal: Molecules
IF: 4.2
Published: 2022
Results: Since the first N-glycan biosynthesis model was proposed in 1997, N-glycan simulation research has made rapid progress. However, relatively few studies have been conducted on the kinetic modeling of O-glycan synthesis. Here, the authors developed a CHO cell transiently transfected with a combination of various glycosyltransferases and explored different approaches to construct computational models of O-glycan biosynthesis. Ultimately, a set of model parameters that can be applied to 20 enzymes was identified, but with its limitations.
Fig.1 Glycosyltransferases are included in modeling the O-glycan profiles of the 25 CHO cell lines. (Kouka, et al., 2022)
Applications
- Bioinformatics combined with glycan databases to assist in designing synthesis routes of custom glycan for studying or manipulating biological processes.
- Bioinformatics tools predict the 3D structure of glycans and their interactions with molecules such as proteins, thereby understanding the function of glycans in biological systems.
- Bioinformatics is used to design the most effective glycan synthesis routes in the development of drugs and vaccines, thereby accelerating the development of drugs and vaccines.
- Bioinformatics-assisted glycan synthesis can be used in the development of carbohydrate-related functional foods and health products.
- Bioinformatics assists in the modification and transformation of glycans in plants, thereby improving plant resistance and yield.
Advantages of Us
- We have constructed a globally unique glycobioinformatics platform to help clients use computational tools to assist in the development of drugs and vaccines, study the interactions between glycans and molecules, and perform glycomics analysis.
- Computational tools are used to simulate the interactions between glycans and targets to quickly screen functional glycans and analyze their structure-activity relationships.
- Glycobioinformatics is used to construct the most efficient biosynthetic pathways and predict the enzyme combinations and conditions for glycan synthesis, thus saving laboratory time and reducing labor costs.
- During the synthesis process, we use glycobioinformatics to monitor and verify the accuracy of glycan structures, ensure that the synthesized glycans match the target structure, and maintain high quality and reproducibility standards.
Frequently Asked Questions
- Why use glycobioinformatics to guide glycan synthesis?
Glycobioinformatics-guided glycan synthesis combines bioinformatics, computational tools, and synthetic chemistry. It uses advanced computational tools to predict and design glycan structures and combines powerful database information to simplify glycan synthesis routes, thereby reducing the time and investment of the chemical synthesis process. Meanwhile, glycobioinformatics is used to simulate the interaction between chemically synthesized glycans and targets to explore their functions and biological activities.
- What types of glycans synthesis can be guided by glycobioinformatics?
Glycoinformatics can be used for the synthesis of various types of glycans, such as carbohydrates, N-glycans, O-glycans, glycosaminoglycans, glycolipids, glycopeptides, glycosphingolipids, cyclodextrins, glycosides, glycopolymers, rhamnolipids, glycosyl donors, glycoproteins, etc.
CD BioGlyco has developed a unique glycobioinformatics platform designed to help clients predict, analyze, and interpret the structure and function of glycans using advanced algorithms, molecular modeling, and data integration technologies. If you are interested in our services, please feel free to contact us and we will give you a deeper understanding of our various solutions for glycobiology informatics.
Reference
- Kouka, T.; et al. Computational modeling of O-linked glycan biosynthesis in CHO cells. Molecules. 2022, 27(6): 1766.
For research use only. Not intended for any diagnostic use.
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