Closed Zainab-ik closed 2 months ago
This annotation is complete. Kindly review.
mm looks good to me as well! Is shorter than others but because there are no organisms etc. So I think we can go ahead
mm looks good to me as well! Is shorter than others but because there are no organisms etc. So I think we can go ahead
Yeah, there's no mention of an organism. And the publication was more of a methodology description. Thanks.
Summary !!!
BioModel Name: Ertl2009 - Synthetic accessibility score estimation
BioModel Tag: Machine learning model, Ersilia, FAIR AIML
Metadata Comments: Estimation of synthetic accessibility score (SAScore) of drug-like molecules based on molecular complexity and fragment contributions.
Contributor:
Curation status : manually curated
Annotation file: here