Ersilia Model Hub Identifier: eos81zy
6.1K
Bioactivity prediction of growth inhibition in Enterococcus faecium, trained as binary (active/inactive) classifiers from publicly available data in ChEMBL. 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 2026-10-05.
eos81zyantimicrobial-activity-efaeciumAnnotationActivity predictionAntimicrobial resistanceEnterococcus faeciumGram-positive bacteria, ESKAPE, Antimicrobial activity, ChEMBLCompound19FixedBelow are the Output Columns of the model:
| Name | Type | Direction | Description |
|---|---|---|---|
| consensus_score | float | high | Quality-weighted consensus across the 8 sub-models on the same rank scale as the sub-models. Calibrated against a reference library of 50K drug-like molecules so that a score of 0.65 is better than 99% of them. Recommended threshold: 0.65. |
| chembl_single_point_0 | float | high | Probability from sub-model trained on ChEMBL single-point low-data catch-all pool of 21 assays (135 compounds). Recommended threshold: 0.65. |
| chembl_dose_response_0 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 165 assays (1596 compounds). Recommended threshold: 0.65. |
| chembl_dose_response_1 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 57 assays (911 compounds). Recommended threshold: 0.65. |
| chembl_dose_response_2 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 69 assays (883 compounds). Recommended threshold: 0.65. |
| chembl_dose_response_3 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 56 assays (677 compounds). Recommended threshold: 0.65. |
| chembl_dose_response_4 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 61 assays (672 compounds). Recommended threshold: 0.65. |
| chembl_dose_response_5 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 43 assays (644 compounds; incl. 117 added negatives). Recommended threshold: 0.65. |
| chembl_dose_response_6 | float | high | Probability from sub-model trained on ChEMBL dose-response signal-based pool of 29 assays (510 compounds; incl. 19 added negatives). Recommended threshold: 0.65. |
LocalInternalAMD64, ARM6411279828099.51Computational Performance (seconds):
46.9137.711114.43Other2026This 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 eos81zy
Then, you can serve, run and close the model as follows:
# serve the model
ersilia serve eos81zy
# 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
sha256:522ccee7a…
Size
4 GB
Last updated
1 day ago
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