Published October 1, 2024
| Version v2
Model
Open
Models for Prediction of anti-bacterial and anti-fungal class specificity of compounds using machine learning
Creators
- 1. Fraunhofer-Gesellschaft
- 2. Enveda Biosciences
-
3.
Fraunhofer Institute for Translational Medicine and Pharmacology
Description
The machine learning models used for training compounds for broad spectrum activity prediction. The manuscript for the models is currently in preparation.
Files
Files
(5.0 GB)
| Name | Size | Download all |
|---|---|---|
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md5:5dd5ffd493a61c3196c74e9cc35e240f
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461.6 MB | Download |
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md5:a93b6d854aff246c1079cef1273e1a95
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19.8 MB | Download |
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md5:5494e9c8fbca3c25d7f7466543269127
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1.3 GB | Download |
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md5:304a344265d81b1637be4c7d5e690008
|
14.1 MB | Download |
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md5:27128183efb1d5d4eedb11566fa61373
|
333.3 MB | Download |
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md5:f5da6ca4de713d20e23bc0e831f8f58d
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14.7 MB | Download |
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md5:f8e1735a1d02a1f0aa0b2f888d0f1e39
|
1.4 GB | Download |
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md5:2a5bdbe3eccef4016031983f7f5f8a73
|
14.7 MB | Download |
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md5:5db848189b7647901622917a9d62608c
|
804.2 MB | Download |
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md5:a9d6e7a9400aad336e3ed2a08c8d8153
|
15.5 MB | Download |
|
md5:48095b0a47646ac4ac026f48998e5a8c
|
616.2 MB | Download |
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md5:5f7b9f7e809681a9a9662db2d0048db9
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28.6 MB | Download |
Additional details
Dates
- Submitted
-
2024-06-24
Software
- Repository URL
- https://github.com/IMI-COMBINE/broad_spectrum_prediction
- Programming language
- Python
- Development Status
- Active