Ersilia Model Hub Identifier: eos9x3z
4.5K
Scores compounds for activity against Gram-negative bacteria, treated as a proxy for whether they penetrate the cell envelope. Gurvic and colleagues curated single-point MIC data from CDD and CO-ADD into 1,887 compounds, labelling those active against both Staphylococcus aureus and Escherichia coli as permeable and those active only against the Gram-positive organism as impermeable, then trained an ensemble of five Chemprop graph networks on that split. Since activity requires both entry and target engagement, a high value indicates the combination rather than permeability alone.
This model was incorporated on 2025-12-10.Last packaged on 2026-10-07.
eos9x3zgram-negative-permeability-proxyAnnotationActivity predictionAntimicrobial resistanceEscherichia coli, Staphylococcus aureusAntimicrobial activityCompound11FixedBelow are the Output Columns of the model:
| Name | Type | Direction | Description |
|---|---|---|---|
| gn_activity | float | high | Probability of gram-negative acivity as a proxy for permeability |
LocalExternalAMD64, ARM6412161876493.9Computational Performance (seconds):
31.8831.57765.27Peer reviewed2022This 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.
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# fetch model from the Ersilia Model Hub
ersilia fetch eos9x3z
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# serve the model
ersilia serve eos9x3z
# 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:e77051ece…
Size
3.5 GB
Last updated
4 days ago
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