Prediction of the antimalarial potential of small molecules. This model is an ensemble of smaller QSAR models trained on proprietary data from various sources, up to a total of >7M compounds. The training sets belong to Evotec, Johns Hopkins, MRCT, MMV - St. Jude, AZ, GSK, and St. Jude Vendor Library. The code and training data are not released, using this model posts predictions to the MAIP online server. The Ersilia Model Hub also offers MAIP-surrogate as a downloadable package for IP-sensitive queries.
- EOS model ID:
eos4zfy - Slug:
maip-malaria
- Input:
Compound - Input Shape:
Single - Task:
Classification - Output:
Score - Output Type:
Float - Output Shape:
Single - Interpretation: Higher score indicates higher antimalarial potential
- Publication
- Source Code
- Ersilia contributor: Amna-28
If you use this model, please cite the original authors of the model and the Ersilia Model Hub.
This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a None license.
Notice: Ersilia grants access to these models 'as is' provided by the original authors, please refer to the original code repository and/or publication if you use the model in your research.
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