Pushing the frontier of glycomaterials science and technology with innovative experimental methodologies, simulation on supercomputers, and Artificial Intelligence. We offer accessible web-based tools to explore computed information on known and predicted carbohydrate materials, robust analysis capabilities, enabling users to envision and craft novel glycomaterials.
Join us in shaping the future of glycomaterials through exploration, collaboration, and discovery.
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Use the GlycoData Explorer to search through and view properties of common carbohydrates, glycomaterials, and glycoconjugates. Use our project explorers to find data on carbohydrate synthesis recipes, catalysts, and glycans.
User-friendly interface to build carbohydrates from monomers. Providing instant visualization of the structure SNFG format as you build. Allows one-click structure conversion to IUPAC-condensed/extended, GlycoCT, and WURCS formats.
Access data directly through the GlycoData Project API. Upon registration with the GlycoData Project, users gain complimentary access to our API, enabling direct data retrieval from our database for integration into their applications. Python users can download the GlycoAPI API client to pull the glycomaterial related data. Read more on our API page.
from glyco_api.Client import GlycoAPI
with GlycoAPI(api_key="your_api_key_here") as glypr:
# Retrieve properties for a list of carbohydrates
docs = glypr.summary.search(carb_ids=["mannose", "glucose"])
Steger Hall, Fralin Life Sciences Institute, Virginia Tech
1015 Life Science Cir, Blacksburg, VA 24061
GlycoMIP is funded by the National Science Foundation through Cooperative Agreement DMR-1933525.
