Ye2021 - Identification of active molecules against Mycobacterium tuberculosis with ML
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下载链接：
https://www.omicsdi.org/dataset/biomodels/MODEL2404080003
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资源简介：
Identification of active molecules against Mycobacterium tuberculosis using an ensemble of data from ChEMBL25 (Target IDs 360, 2111188 and 2366634). The final model is a stacking model integrating four algorithms, including support vector machine, random forest, extreme gradient boosting and deep neural networks..
Model Type: Predictive machine learning model.
Model Relevance: Predicts Probability of M.tb inhibition.
Model Encoded by: Amna Ali (Ersilia)
Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam
Implementation of this model code by Ersilia is available here:
https://github.com/ersilia-os/eos46ev
创建时间：
2024-05-10
