Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Modeling Immunogenicity #4

Open
rbharath opened this issue Jul 19, 2017 · 1 comment
Open

Modeling Immunogenicity #4

rbharath opened this issue Jul 19, 2017 · 1 comment

Comments

@rbharath
Copy link
Member

Immunogenicity is one of the most serious problems facing the design of new biologics. In a nutshell, immunogenicity is when the patients immune system mounts a response against the introduced biologic. There are a number of reasons this can happen, such as contamination of the biologic (for example, deamidation can create isoaspartic acid "residues" on biologic, triggering an immune response). See this detailed FDA review:

https://www.fda.gov/downloads/Drugs/DevelopmentApprovalProcess/SmallBusinessAssistance/UCM408709.pdf

It seems likely that deep learning could help model immunogenicity. Are there any public reports of data available?

@bionicles
Copy link

www.iedb.org

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants