ersiliaos/eos7l5m repository overview

⁠Efflux susceptibility in gram-negative bacteria

Actives in efflux-compromised Escherichia coli were compared with wild-type strains to estimate efflux susceptibility of small molecules. An initial screen of over 300000 molecules was performed in an efflux-deficient (tolC mutant) strain. About 4500 hits (E.coli growth inhibitors) were identified, of which ca. 3, 780 were efflux-dependent (meaning they do not inhibit the WT). In addition, from the 4500 subset, two more refined datasets were created classifying 1061 molecules as pumped out and 404 as non-pumped.

This model was incorporated on 2025-12-12.Last packaged on 2026-07-06.

⁠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: Probability of the compound being effluxed out of E.coli cells.

Below are the Output Columns of the model:

⁠Source and Deployment

• Source: Local
• Source Type: Internal
• DockerHub: https://hub.docker.com/r/ersiliaos/eos7l5m⁠
• Docker Architecture: AMD64, ARM64
• S3 Storage: https://ersilia-models-zipped.s3.eu-central-1.amazonaws.com/eos7l5m.zip⁠

⁠Resource Consumption

• Model Size (Mb): 47
• Environment Size (Mb): 1924
• Image Size (Mb): 2043.59

Computational Performance (seconds):

• 10 inputs: 41.25
• 100 inputs: 38.59
• 10000 inputs: 882.16

⁠References

• Source Code: https://github.com/sfrench007/serf⁠
• Publication: https://doi.org/10.1128/AAC.01925-20⁠
• Publication Type: Peer reviewed
• Publication Year: 2025
• Ersilia Contributor: miquelduranfrigola⁠

⁠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 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!