BioModel Discussion Issue for eos7d58

[Zainab-ik]

Summary !!!

• BioModel Name: Swanson2023 - ADMET-AI: To evaluate the pharmacokinetics property of large-scale chemical libraries

• BioModel Tag: Machine learning model, Ersilia

• Metadata Comments:
  Hi @GemmaTuron , for this model, each of the 6 predictions has a sub-predicitions. I'd like to clarify if all the sub-predictions are incorporated in Ersilia.

• Contributor:

roles	Names
Curator	@Zainab-ik
Code contributor	@DhanshreeA
Reviewer	@GemmaTuron

• Curation status : manually curated

• Annotation file: here

[GemmaTuron]

The 6 "predictions" are simply classes so that the outputs are better classified - ADME (Absortion, Distribution... these are "classes")
The endpoints we need to identify are for example: solubility, CYP3A4 inhibition and so on

[Zainab-ik]

Hi @GemmaTuron
I've annotated all the endpoints for this model. And the DOME annotation for output is just - Model-Output since it's either classification or regression.

[GemmaTuron]

Thanks for the work @Zainab-ik this looks good, all endpoints are there