Ersilia Model Hub Identifier: eos8lcw
5.6K
Bioactivity prediction of growth inhibition in Staphylococcus aureus, trained as binary (active/inactive) classifiers from publicly available data in ChEMBL and PubChem. Independent models are trained on multiple bioactivity datasets, corresponding to single-point (Inhibition) and dose-response (MIC) assays, among others. A ranking score is provided for each model alongside a combined consensus score.
This model was incorporated on 2026-05-19.Last packaged on 2026-07-22.
eos8lcwantimicrobial-activity-saureusAnnotationActivity predictionAntimicrobial resistance, PneumoniaStaphylococcus aureusGram-positive bacteria, ESKAPE, Antimicrobial activity, ChEMBLCompound119FixedBelow are the Output Columns of the model:
| Name | Type | Direction | Description |
|---|---|---|---|
| consensus_score | float | high | Tanh-transformed quality-weighted consensus probability across the 18 sub-models. Recommended threshold: 0.791. |
| chembl_single_point_0 | float | high | Probability from sub-model trained on ChEMBL single-point signal-based pool of 257 assays (2660 compounds). Recommended threshold: 0.779. |
| chembl_single_point_1 | float | high | Probability from sub-model trained on ChEMBL single-point signal-based pool of 191 assays (1861 compounds). Recommended threshold: 0.589. |
| chembl_single_point_2 | float | high | Probability from sub-model trained on ChEMBL single-point signal-based pool of 154 assays (1775 compounds). Recommended threshold: 0.638. |
| chembl_single_point_3 | float | high | Probability from sub-model trained on ChEMBL single-point signal-based pool of 79 assays (1058 compounds). Recommended threshold: 0.684. |
| chembl_single_point_4 | float | high | Probability from sub-model trained on ChEMBL single-point signal-based pool of 69 assays (981 compounds). Recommended threshold: 0.586. |
| chembl_single_point_5 | float | high | Probability from sub-model trained on ChEMBL single-point signal-based pool of 106 assays (959 compounds). Recommended threshold: 0.747. |
| chembl_single_point_6 | float | high | Probability from sub-model trained on ChEMBL single-point signal-based pool of 11 assays (266 compounds). Recommended threshold: 0.608. |
| chembl_dose_response_0 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 2733 assays (29133 compounds). Recommended threshold: 0.665. |
| chembl_dose_response_1 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 1546 assays (14627 compounds). Recommended threshold: 0.612. |
10 of 19 columns are shown
LocalInternalAMD64, ARM64101372088190.87Computational Performance (seconds):
65.3161.89-1Other2026This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a GPL-3.0-or-later license.
Notice: Ersilia grants access to models as is, directly from the original authors, please refer to the original code repository and/or publication if you use the model in your research.
To use this model locally, you need to have the Ersilia CLI installed. The model can be fetched using the following command:
# fetch model from the Ersilia Model Hub
ersilia fetch eos8lcw
Then, you can serve, run and close the model as follows:
# serve the model
ersilia serve eos8lcw
# generate an example file
ersilia example -n 3 -f my_input.csv
# run the model
ersilia run -i my_input.csv -o my_output.csv
# close the model
ersilia close
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Content type
Image
Digest
sha256:f8111896b…
Size
3.9 GB
Last updated
about 2 months ago
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