GitHub - kunaL9804/QSAR-Modelling: Developing a regression-based QSAR (quantitative structure-activity relationships) model to identify compounds that have 3-chymotrypsin-like protease (3CLpro) inhibitory activity.

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Developing a regression-based QSAR (quantitative structure-activity relationships) model to identify compounds that have 3-chymotrypsin-like protease (3CLpro) inhibitory activity.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Golbraikh and Tropsha criteria		Golbraikh and Tropsha criteria
6LU7.pdb		6LU7.pdb
Model.pdf		Model.pdf
Original_Dataset_csv.csv		Original_Dataset_csv.csv
Regression Model.ipynb		Regression Model.ipynb
Test_Dataset_csv.csv		Test_Dataset_csv.csv
Training_Dataset_csv.csv		Training_Dataset_csv.csv
Validation_Dataset_csv.csv		Validation_Dataset_csv.csv

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Developing a regression-based QSAR (quantitative structure-activity relationships) model to identify compounds that have 3-chymotrypsin-like protease (3CLpro) inhibitory activity.

python machine-learning random-forest modelling regression-models decision-tree covid-19 qsar-models

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