ersiliaos/eos8v1a repository overview

⁠Antimicrobial activity prediction against Schistosoma mansoni from public ChEMBL data

Bioactivity prediction of growth inhibition in Schistosoma mansoni, 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 (IC50) 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 2026-10-06.

⁠Information

⁠Identifiers

• Ersilia Identifier: eos8v1a
• Slug: antimicrobial-activity-smansoni

⁠Domain

• Task: Annotation
• Subtask: Activity prediction
• Biomedical Area: Schistosomiasis
• Target Organism: Schistosoma mansoni
• Tags: Helminth, Antimicrobial activity, ChEMBL

⁠Input

• Input: Compound
• Input Dimension: 1

⁠Output

• Output Dimension: 5
• Output Consistency: Fixed
• Interpretation: Probability of antimicrobial activity against Schistosoma mansoni from 4 ChEMBL-trained sub-models, plus a quality-weighted consensus score.

Below are the Output Columns of the model:

⁠Source and Deployment

• Source: Local
• Source Type: Internal
• DockerHub: https://hub.docker.com/r/ersiliaos/eos8v1a⁠
• Docker Architecture: AMD64, ARM64
• S3 Storage: https://ersilia-models-zipped.s3.eu-central-1.amazonaws.com/eos8v1a.zip⁠

⁠Resource Consumption

• Model Size (Mb): 75
• Environment Size (Mb): 7982
• Image Size (Mb): 8045.34

Computational Performance (seconds):

• 10 inputs: 46.41
• 100 inputs: 38.83
• 10000 inputs: 1122.07

⁠References

• Source Code: https://github.com/ersilia-os/chembl-antimicrobial-models⁠
• Publication: https://github.com/ersilia-os/chembl-antimicrobial-models⁠
• Publication Type: Other
• Publication Year: 2026
• Ersilia Contributor: arnaucoma24⁠

⁠License

This 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.

⁠Use

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 eos8v1a

Then, you can serve, run and close the model as follows:

# serve the model
ersilia serve eos8v1a
# 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

⁠About Ersilia

The Ersilia Open Source Initiative⁠ is a tech non-profit organization fueling sustainable research in the Global South. Please cite⁠ the Ersilia Model Hub if you've found this model to be useful. Always let us know⁠ if you experience any issues while trying to run it. If you want to contribute to our mission, consider donating⁠ to Ersilia!