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ersiliaos/eos7l5m

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By Ersilia Open Source Initiative

•Updated 1 day ago

Ersilia Model Hub Identifier: eos7l5m

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ersiliaos/eos7l5m repository overview

⁠Efflux susceptibility in gram-negative bacteria

Flags small molecules likely to be expelled by Escherichia coli efflux pumps, the barrier that most often strips Gram-negative antibacterials of whole-cell activity. El Zahed and colleagues screened some 314,000 compounds against an efflux-deficient tolC mutant, recovered about 4,500 growth inhibitors, 84% of which lost potency in the wild type, and separated roughly 1,070 pumped from 410 non-pumped actives. Ersilia retrained classifiers on those sets with LazyQSAR instead of serving the published SERF random forest.

This model was incorporated on 2025-12-12.Last packaged on 2026-10-29.

⁠Information

⁠Identifiers
  • Ersilia Identifier: eos7l5m
  • Slug: efflux-gram-negative
⁠Domain
  • Task: Annotation
  • Subtask: Activity prediction
  • Biomedical Area: Antimicrobial resistance, Diarrheal diseases
  • Target Organism: Escherichia coli
  • Tags: Antimicrobial activity, Gram-negative bacteria
⁠Input
  • Input: Compound
  • Input Dimension: 1
⁠Output
  • Output Dimension: 2
  • Output Consistency: Fixed
  • Interpretation: Two rank scores calibrated against the Ersilia reference library of 50K compounds, where 0.65 beats 99% of it. The first is how likely Escherichia coli is to pump the compound out; the second how likely it is to inhibit growth only when efflux is disabled. Trained on a tolC-mutant screen.

Below are the Output Columns of the model:

NameTypeDirectionDescription
pumped_rankfloathighRank score of how likely Escherichia coli efflux pumps are to expel the compound. Calibrated against 50K compounds from the Ersilia reference library so that a score of 0.65 is better than 99% of them. Recommended threshold: 0.65.
effluxed_rankfloathighRank score of how likely the compound is to inhibit Escherichia coli growth only when TolC-dependent efflux is disabled. Calibrated against 50K compounds from the Ersilia reference library so that a score of 0.65 is better than 99% of them. Recommended threshold: 0.65.
⁠Source and Deployment
⁠Resource Consumption
  • Model Size (Mb): 89
  • Environment Size (Mb): 7463
  • Image Size (Mb): 7621.45

Computational Performance (seconds):

  • 10 inputs: 41.46
  • 100 inputs: 35.29
  • 10000 inputs: 957.88
⁠References
⁠License

This package is licensed under a GPL-3.0⁠ license. The model contained within this package is licensed under a BSD-3-Clause⁠ 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 eos7l5m

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

# serve the model
ersilia serve eos7l5m
# 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!

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