Human cytotoxicity endpoints

The authors tested the dataset of 39312 compounds from the antibiotics-ai model (eos18ie) against several cytotoxicity endpoints; human liver carcinoma cells (HepG2), human primary skeletal muscle cells (HSkMCs) and human lung fibroblast cells (IMR-90). Cellular viability was measured after 20133 days of treatment with each compound at 10 μM and activities were binarized using a 90% cell viability cut-off. 341 (8.5%), 490 (3.8%) and 447 (8.8%) compounds classified as cytotoxic for HepG2 cells, HSk-MCs and IMR-90 cells

Identifiers

• EOS model ID: eos42ez
• Slug: antibiotics-ai-cytotox

Characteristics

• Input: Compound
• Input Shape: Single
• Task: Classification
• Output: Probability
• Output Type: Float
• Output Shape: Single
• Interpretation: Predicting cytotoxicity in human liver carcinoma cells (HepG2), human primary skeletal muscle cells (HSkMCs) and human lung fibroblast cells (IMR-90)

References

• Publication
• Source Code
• Ersilia contributor: Richiio

Ersilia model URLs

• GitHub
• AWS S3
• DockerHub (AMD64)

Citation

If you use this model, please cite the original authors of the model and the Ersilia Model Hub.

License

This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a MIT license.

Notice: Ersilia grants access to these models 'as is' provided by the original authors, please refer to the original code repository and/or publication if you use the model in your research.

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