BioModel Discussion Issue for eos5xng

[Zainab-ik]

Summary !!!

• BioModel Name: Rahman2022 - High throughput antibacterial screening with machine learning.

• BioModel Tag: fair AIML, Machine learning model

• Metadata Comments:

  1. ESKAPE pathogen inhibition is the experimental validation of the AI model, if i'm right? If yes, then those pathogens do not classify as a taxonomy in the metadata.
  2. For the model training and prediction, both classification and regression tasks were performed. Ersilia model only performed classification and that should be the only one included in the metadata, right?
  3. Both RMSE and MAE scores are evaluation metrics for regression tasks, if 2 is yes, then both methods would apply.

• Contributor:

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

• Curation status : manually curated

• Annotation file: here

[GemmaTuron]

Hi @Zainab-ik

Indeed, the model organism used is: Burkholderia cenocepacia (bacteria) and then they do further validations for a broader range of ESKAPE pathogens, so I would only add the first in the metadata. And then just use the classification scores, indeed

[miquelduranfrigola]

@GemmaTuron I have modified the metadata.json since, Burkholderia is not an ESKAPE pathogen, strictly speaking.