CD BioGlyco offers glycoinformatics-assisted custom modeling as a made-to-order service. We use advanced computational tools to Model and Analyze Glycan Structures accurately. In addition to modeling tools, we also integrate protein databases with the glycoinformatics service. Our service also integrates databases such as the Protein Data Bank (PDB) for extracting glycoproteins and protein-carbohydrate complex data, and automated molecular geometry processing tools such as GlyTorsion and GlyVicinity for detailed structural analysis. The comprehensive data calls allow us to perform comprehensive glycan modeling, including structure prediction, conformational analysis, and docking simulations.
Fig.1 Networking and integration of glycoinformatics projects and associated services. (Scherbinina & Toukach, 2020)
Our glycoinformatics-assisted custom modeling uses advanced tools and databases to predict, model, and analyze glycan structures and their interactions. The key tools include GLYCAM-Web for glycan structure prediction and glycosylated protein modeling, CHARMM-GUI for 3D glycan modeling, and Glycosylator for rapid glycan and glycoprotein modeling. RosettaCarbohydrate offers capabilities for saccharide and glycoconjugate modeling, including loop modeling and glyco-ligand docking. For structure building and model preparation, tools like doGlycans, POLYS, CarbBuilder, and GAG-builder are used. Docking tools such as BALLDock/SLICK, HADDOCK, and Vina-Carb facilitate protein-carbohydrate interaction studies. Data analysis tools like CAT, BFMP, MD2NOE, GS-align, GlyTorsion, and GlyVicinity are employed for conformational analysis and validation. This comprehensive approach allows for detailed study and simulation of glycan behavior, enhancing the understanding of glycosylation processes and aiding in the development of carbohydrate-based therapeutics.
DOI: 10.5772/56376
Technology: Molecular docking
Journal: Protein engineering-technology and application
Published: 2013
Results: Molecular docking simulates a ligand and protein in free solution to model the natural binding process using an approach of mimicking their interaction downhill lowest energy pathway. This takes into consideration a wide range of forces: hydrophobic interactions, van der Waals forces, hydrogen bonding and electrostatic battles. Docking may also be rigid (both molecules are inflexible), or flexible in the ligand and, possibly on a trial basis of flexibility accorded to regions of protein). The docking protocol consists of a search algorithm to sample binding modes and a scoring function to estimate the relative free energy. Molecular dynamics and Monte Carlo methods are common but scoring functions that evaluate binding modes, affinities or predicting druggability using force-field or empirical ways constitute an important part of drug discovery. Flexible docking Flexible protein-docking models soft dock structures, e. g., free-energy methods or structural ensemble approaches.
Fig.2 Methods used for protein-ligand docking. (Hernández-Santoyo, et al., 2013)
At CD BioGlyco, our custom modeling service provides extensive applications in drug discovery, vaccine design, and biological research, coupled with significant advantages in precision, efficiency, customization, and predictive capabilities. Please feel free to contact us for information if you are interested in our Modeling Service!
References
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.