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

ML prediction for DAC combination therapies #5

Closed
1 of 2 tasks
Tracked by #1
abearab opened this issue Oct 2, 2023 · 4 comments
Closed
1 of 2 tasks
Tracked by #1

ML prediction for DAC combination therapies #5

abearab opened this issue Oct 2, 2023 · 4 comments

Comments

@abearab
Copy link
Contributor

abearab commented Oct 2, 2023

@abearab
Copy link
Contributor Author

abearab commented Dec 12, 2023

Related tools:


Igor F Tsigelny, Artificial intelligence in drug combination therapy, Briefings in Bioinformatics, 2019, https://doi.org/10.1093/bib/bby004

Jafari, M., Mirzaie, M., Bao, J. et al. Bipartite network models to design combination therapies in acute myeloid leukaemia. Nat Commun 13, 2128 (2022). https://doi.org/10.1038/s41467-022-29793-5

@abearab
Copy link
Contributor Author

abearab commented Dec 12, 2023

40988f9

@abearab
Copy link
Contributor Author

abearab commented Dec 16, 2023

I think the evidence I found regarding current combinations of DNMT + DHODH inhibitors can be a proof of concept for this drug treatment model using multi-omics readouts. Thus, it might be useful to think about it for defining new tasks.

image

Related to mims-harvard/TDC#207 and mims-harvard/PrimeKG#12

@abearab
Copy link
Contributor Author

abearab commented Feb 15, 2024

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

1 participant