BioModel Discussion Issue for eos6hy3

[Zainab-ik]

Summary !!!

• BioModel Name: Zeng2022 - Prediction of molecular properties and drug targets using a self-supervised learning framework for HIV

• BioModel Tag: fair AIML, Machine learning model, Ersilia

• Metadata Comments: This publication is the same as eos4cxk, and the same rules that applies to eos4e40 and eos9f6t can apply here, right?

• Contributor:

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

• Curation status : manually curated

• Annotation file: here

[GemmaTuron]

I do not understand the sam rule? What do you mean by that? The paper indeed uses the same architecture with several datasets and we have implemented each model independently, if that is what you are referring to

[GemmaTuron]

Hi @Zainab-ik Where do you see that the modle uses MACCS keys?

[Zainab-ik]

Hi @Zainab-ik Where do you see that the modle uses MACCS keys?

@GemmaTuron To clarify, is MACCS Keys different from MACCS fingerprint? There' a mention of a model using MACCS fingerprint that was compared with Image-Mol. Oh, it was used in the model pretraining.

[GemmaTuron]

ah I see in the methods. MACCS keys are fingerprints