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.
3
77
13897
86
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