Prediction of the antimalarial potential of small molecules using data from various chemical libraries that were screened against the asexual and sexual (gametocyte) stages of the parasite. Several compounds’ molecular fingerprints were used to train machine learning models to recognize stage-specific active and inactive compounds.
- EOS model ID:
eos80ch
- Slug:
malaria-mam
- Input:
Compound
- Input Shape:
Single
- Task:
Classification
- Output:
Probability
- Output Type:
Float
- Output Shape:
List
- Interpretation: Probability of inhibition of the malaria parasite growth
- Publication
- Source Code
- Ersilia contributor: GemmaTuron
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This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a GPL-3.0 license.
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