ersiliaos/eos11sm repository overview

⁠Resemblance to a curated list of known antibiotics

Measures how closely a compound resembles established antibacterial drugs, benchmarked against a curated reference of roughly 600 known antibiotics drawn from AntibioticDB and the Collins lab (MIT). A logistic regression combines Tanimoto similarities to the nearest reference antibiotics across five fingerprint types, among them Morgan, MACCS and atom pair. The score is meant for triage, letting compounds structurally remote from any known antibiotic be set aside or deliberately sought when novel chemotypes are the goal, and it says nothing about actual antibacterial activity.

This model was incorporated on 2025-11-24.Last packaged on 2026-10-07.

⁠Information

⁠Identifiers

• Ersilia Identifier: eos11sm
• Slug: known-antibiotic-resemblance

⁠Domain

• Task: Annotation
• Subtask: Activity prediction
• Biomedical Area: Antimicrobial resistance
• Target Organism: Any
• Tags: Antimicrobial activity

⁠Input

• Input: Compound
• Input Dimension: 1

⁠Output

• Output Dimension: 1
• Output Consistency: Fixed
• Interpretation: Probability of belonging to a reference set of 591 known antibiotics, scored by multi-fingerprint Tanimoto similarity.

Below are the Output Columns of the model:

⁠Source and Deployment

• Source: Local
• Source Type: Internal
• DockerHub: https://hub.docker.com/r/ersiliaos/eos11sm⁠
• Docker Architecture: AMD64, ARM64
• S3 Storage: https://ersilia-models-zipped.s3.eu-central-1.amazonaws.com/eos11sm.zip⁠

⁠Resource Consumption

• Model Size (Mb): 6
• Environment Size (Mb): 815
• Image Size (Mb): 770.71

Computational Performance (seconds):

• 10 inputs: 29.48
• 100 inputs: 17.63
• 10000 inputs: 102.26

⁠References

• Source Code: https://github.com/ersilia-os/ersilia⁠
• Publication: https://antibioticdb.com⁠
• Publication Type: Other
• 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 eos11sm

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

# serve the model
ersilia serve eos11sm
# 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!