This model predicts the growth of the fungus M. mycetomatis, causal agent of Mycetoma, in presence of small drugs. It has been developed using the data from MycetOS, an opemn source initiative aiming at finding new patent-free drugs. The model has been trained using the LazyQSAR package (MorganBinaryClassifier) from Ersilia.
This model was incorporated on 2023-09-27.
- Ersilia Identifier:
eos4f95 - Slug:
mycetos
- Task:
Annotation - Subtask:
Activity prediction - Biomedical Area:
Mycetoma - Target Organism:
Madurella mycetomatis - Tags:
Mycetoma,Antifungal activity
- Input:
Compound - Input Dimension:
1
- Output Dimension:
1 - Output Consistency:
Fixed - Interpretation: Probability of inhibition of M. mycetomatis (growth assay, cut-off at 20% growth)
Below are the Output Columns of the model:
| Name | Type | Direction | Description |
|---|---|---|---|
| mycetoma_inhibition | float | high | Probability score of inhibiting the fungus Madurella mycetomatis at 20% growth |
- Source:
Local - Source Type:
Internal - DockerHub: https://hub.docker.com/r/ersiliaos/eos4f95
- Docker Architecture:
AMD64 - S3 Storage: https://ersilia-models-zipped.s3.eu-central-1.amazonaws.com/eos4f95.zip
- Model Size (Mb):
1 - Environment Size (Mb):
8674
- Source Code: https://github.com/ersilia-os/lazy-qsar
- Publication: https://www.ijidonline.com/article/S1201-9712(20)31735-5/fulltext
- Publication Type:
Peer reviewed - Publication Year:
2020 - Ersilia Contributor: GemmaTuron
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.
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 eos4f95Then, you can serve, run and close the model as follows:
# serve the model
ersilia serve eos4f95
# 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 closeThe 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!