Glycoinformatics-assisted Glycoprotein Structure Modeling Service

Glycoinformatics-assisted Glycoprotein Structure Modeling Service

Promote Glycoprotein Research through Structure Modeling

Analysis, Prediction, and Modeling of glycoprotein structure play a crucial role in glycoprotein analysis and understanding of the complex relationship between structure and function. CD BioGlyco provides a personalized glycoinformatics-assisted glycoprotein structure modeling service with a senior glycoinformatics team. We aim to facilitate glycoprotein research with flexible and customizable solutions.

We provide glycoprotein structure modeling services with high accuracy and precision based on the expertise of experts with diverse backgrounds, computational algorithms, and leading-edge technologies. By providing high-precision structural models of glycoproteins, we help researchers to further investigate their structure-function relationships, facilitate drug design, glycosylation studies, and more.

Glycoprotein Structure Detection

We combine a variety of advanced techniques for glycoform analysis, glycosylation site analysis, monosaccharide composition, etc. These technologies have provided highly sensitive, high-resolution, and high-throughput means for glycoprotein analysis and modeling.

  • Mass spectrometry is a powerful tool for analyzing the structure of glycoproteins. Coupling it with liquid chromatography allows us to obtain detailed information about the heterogeneity of protein glycosylation from MS data.
  • Nuclear magnetic resonance (NMR) provides detailed information about the structure of the glycoprotein.
  • In addition, we have other analytical tools for structural analysis of glycoproteins, such as cryogenic electron microscopy (cryo-EM) and X-ray crystallography.

Structural Modeling

We are proficient in various tools for modeling and processing glycoprotein structural data. Based on multiple databases and assay results, our experienced bioinformatics experts perform structural modeling of glycoproteins, including database mining, structural modeling, model optimization, and model validation. We consider the following information during the modeling process:

  • Rotational states of inter-residue and exocyclic linkages
  • Glycosidic linkage conformation

Contents of our glycoprotein structure modeling service. (CD BioGlyco)

We follow strict working standards to ensure the reliability and accuracy of each candidate model. Ultimately, we provide comprehensive glycoprotein structure modeling results and detailed analysis reports, including detailed analysis of raw data, predictions, and model structures.

Publication Data

Technology: Molecular dynamics (MD) and molecular mechanics (MM) calculations

Journal: International Journal of Molecular Sciences

IF: 5.923

Published: 2020

Results: This paper describes in detail the chemical and glycoinformatics methods used in the generation, storage, and processing of structural data such as glycoproteins. This includes databases storing large amounts of structural information on glycoconjugates, some theoretical models and methods used for 3D structure modeling, data mining tools, software, etc. A summary of these databases and tools contributes to efficient glycoprotein structure modeling.

Frequently Asked Questions

  • What tools are available for glycoprotein structure modeling?
    • A variety of web-based tools and software have been developed for glycoprotein structure modeling.
    • Glycosylator: Rapid modeling of glycoproteins (including glycosylation) and glycans based on CHARMM force field
    • RosettaCarbohydrate: Modeling of multiple sugar and glycoconjugate structures (including glycosylation, glyco-ligand docking, and loop modeling)
    • GlyProt: In silico generation of N-glycosylated 3D models of glycoproteins
  • What is the significance of homology modeling in glycoprotein structure modeling?
    • Homology modeling is a technologically mature, accurate, and reliable means of structural modeling of glycoproteins, which requires the selection of templates in databases to model the target glycoproteins. It plays an important role in understanding the biological functions of glycoproteins, structure-based drug design, and so on.

Applications

  • Structure modeling helps researchers determine how glycosylation affects glycoprotein stability and interactions with other molecules.
  • Structure modeling helps to provide insights into the functional roles of glycoproteins, such as in cell-cell recognition, regulation of immune responses, and intracellular signaling processes.
  • Structure modeling helps to discover novel disease biomarkers and shed light on disease mechanisms, thereby facilitating the study of new therapeutic targets as well as diagnostic tools.

Advantages

  • Our experts with diverse backgrounds incorporate advanced machine-learning algorithms into glycoprotein modeling practices.
  • We provide flexible and customizable glycoinformatics-assisted glycoprotein structure modeling solutions for our client's research projects.
  • We maintain the integrity and transparency of our services and provide comprehensive results.

CD BioGlyco provides comprehensive solutions for glycoprotein structure modeling using cutting-edge technologies and leading-edge algorithms. We aim to help you achieve milestones in your research projects through modeling. Please do not hesitate to contact us if you are interested in or require our glycoinformatics-assisted glycoprotein structure analysis services.

Reference

  1. Scherbinina, S.I.; Toukach, P.V. Three-dimensional structures of carbohydrates and where to find them. International journal of molecular sciences. 2020, 21(20): 7702.
For research use only. Not intended for any diagnostic use.
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We envision a future where the intricate world of carbohydrate is no longer shrouded in mystery, but rather illuminated by the power of cutting-edge computational tools.

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