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BBB permeability - New dataset #174
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Hi Devansh! Thanks for the pointer! This definitely sounds relevant! Would you like to contribute to TDC? Let us know, thanks! |
I will work on this |
@kexinhuang12345 Hi Kexin! I am interested in adding the BBB dataset to TDC. So far the steps I identified are:
adme_dataset_names = [
# ...
"clearance_microsome_az",
"b3db_classification", # Added
"b3db_regression", # Added
]
name2type = {
# ...
"bbb_adenot": "tab",
"b3db_classification": "tab", # Added
"b3db_regression": "tab", # Added
"bbb_martins": "tab",
# ...
}
I am new to the package so any guidance or recommendations would be appreciated. Looking forward to your response! |
Hi @kexinhuang12345, we had a conversation back in February 2022 about adding this dataset to TDC so following up here. I'm working with @inakineitor and we would be happy to help get this dataset included (unless @marc-gav has made progress). We can also open a new issue if needed. Iñaki – Kexin had previously pointed me to the contribution guide. |
Sorry for the late reply - was traveling - this sounds awesome! I think the questions can be answered via the contribution guide pointed out by Ayush. Let me know if you still bump into any questions! |
Hi Kexin, no worries! All steps are now completed except for |
Please see ayushnoori@ac35e01 at my fork, https://github.com/ayushnoori/TDC. |
Describe the problem
Currently, TDC has BBB_martins dataset for Blood Brain Barrier (BBB) permeability consisting of only 2030 compounds. There is a much bigger dataset called Blood-Brain Barrier Database (B3DB) consisting of 7807 compounds.
Describe the solution you'd like
Inclusion of the dataset to the Single-instance Prediction Problem (ADME) and the ADMET Benchmark Group.
Additional context
B3DB - https://github.com/theochem/B3DB
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