BioModel Discussion Issue for eos2lqb

[Zainab-ik]

Summary !!!

• BioModel Name: Wei2022 - HobPre: accurate prediction of human oral bioavailability for small molecules

• BioModel Tag: Machine learning model, Ersilia

• Metadata Comments: This model classified it's data as positive and negative based on bioavailability percentage. This annotation is the closest to a positive class - http://purl.obolibrary.org/obo/NCIT_C64356. I think this better suits than active, what do you think @GemmaTuron ? or we can assume it's classified as active bioavailability compounds or inactive.

• Contributor:

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

• Curation status : manually curated

• Annotation file: here

[GemmaTuron]

With the context of drug discovery we can simply use the "active" "inactive" terms