Neural Network and Random Forest Algorithms as Catalysts in QSAR/QSAAR Modeling: Targeting β-Carbonic Anhydrase for Antituberculosis Drug Design

Bhowmik, R.; Manaithiya, A.; Ray, R.; Carta, F.; Supuran, C. T.; Parkkila, S.; Aspatwar, A.

doi:10.1101/2024.04.30.591931

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bioRxiv · 10.1101/2024.04.30.591931

Neural Network and Random Forest Algorithms as Catalysts in QSAR/QSAAR Modeling: Targeting β-Carbonic Anhydrase for Antituberculosis Drug Design

Bhowmik, R.·Manaithiya, A.·Ray, R.·Carta, F.·Supuran, C. T.·Parkkila, S.·Aspatwar, A.

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Abstract

Withdrawal StatementThe authors have withdrawn their manuscript owing to the inability to complete the revisions or follow up on the manuscript at this time, due to personal circumstances. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

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Bhowmik, R., Manaithiya, A., Ray, R., Carta, F., Supuran, C. T., Parkkila, S., Aspatwar, A.. 2024-05-03. Neural Network and Random Forest Algorithms as Catalysts in QSAR/QSAAR Modeling: Targeting β-Carbonic Anhydrase for Antituberculosis Drug Design. https://doi.org/10.1101/2024.04.30.591931

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