ersiliaos/eos4r1g repository overview

⁠Penetration in gram-negative bacteria

Estimates the probability that a compound accumulates inside Gram-negative bacteria, the barrier that keeps most antibacterial chemistry from reaching its target. Richter and colleagues measured accumulation in Escherichia coli for over 180 diverse compounds and sorted them into high and low accumulators. Ersilia cleaned and combined those datasets into 280 molecules, 107 of them high accumulators, and fitted a binary classifier with its LazyQSAR package. Accumulation was measured only in E. coli, so other Gram-negative species are an extrapolation.

This model was incorporated on 2025-12-27.Last packaged on 2026-10-19.

⁠Information

⁠Identifiers

• Ersilia Identifier: eos4r1g
• Slug: entry-classifier

⁠Domain

• Task: Annotation
• Subtask: Activity prediction
• Biomedical Area: Antimicrobial resistance
• Target Organism: Escherichia coli
• Tags: Antimicrobial activity, ESKAPE, Permeability

⁠Input

• Input: Compound
• Input Dimension: 1

⁠Output

• Output Dimension: 1
• Output Consistency: Fixed
• Interpretation: Probability of being a high accumulator in Escherichia coli, as labelled in the original accumulation measurements.

Below are the Output Columns of the model:

⁠Source and Deployment

• Source: Local
• Source Type: Internal
• DockerHub: https://hub.docker.com/r/ersiliaos/eos4r1g⁠
• Docker Architecture: AMD64, ARM64
• S3 Storage: https://ersilia-models-zipped.s3.eu-central-1.amazonaws.com/eos4r1g.zip⁠

⁠Resource Consumption

• Model Size (Mb): 2
• Environment Size (Mb): 6436
• Image Size (Mb): 6497.4

Computational Performance (seconds):

• 10 inputs: 31.53
• 100 inputs: 25.99
• 10000 inputs: 460.84

⁠References

• Source Code: https://github.com/HergenrotherLab/GramNegAccum⁠
• Publication: https://doi.org/10.1038/nature22308⁠
• Publication Type: Peer reviewed
• Publication Year: 2017
• Ersilia Contributor: GemmaTuron⁠

⁠License

This package is licensed under a GPL-3.0⁠ license. The model contained within this package is licensed under a None⁠ 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 eos4r1g

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

# serve the model
ersilia serve eos4r1g
# 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!