Development of a simple, interpretable and easily transferable QSAR model for quick screening antiviral databases in search of novel 3C-like protease (3CLpro) enzyme inhibitors against SARS-CoV diseases

V. KumarDrug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, IndiaView further author information

K. RoyDrug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, IndiaCorrespondence[email protected]

https://orcid.org/0000-0003-4486-8074 View further author information

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Development of a simple, interpretable and easily transferable QSAR model for quick screening antiviral databases in search of novel 3C-like protease (3CLpro) enzyme inhibitors against SARS-CoV diseases

S5_Supplementary_information_S4_Prediction_score.xlsx

S4_Supplementary_information_S4_AD_and_Rand_test.xlsx

S3_Supplementary_Information_Figures_and_Table.docx

S2_Supplementary_Information_Descriptors_and_omitted_compounds.xlsx

S1_Supplementary_Information_Molecules.xlsx

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Development of a simple, interpretable and easily transferable QSAR model for quick screening antiviral databases in search of novel 3C-like protease (3CLpro) enzyme inhibitors against SARS-CoV diseases

S5_Supplementary_information_S4_Prediction_score.xlsx

S4_Supplementary_information_S4_AD_and_Rand_test.xlsx

S3_Supplementary_Information_Figures_and_Table.docx

S2_Supplementary_Information_Descriptors_and_omitted_compounds.xlsx

S1_Supplementary_Information_Molecules.xlsx

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