Molecular Insights into Zea mays Active Phytochemicals for Diabetes and Inflammation Treatment: A Web App-Based Machine Learning and Network Pharmacology Approach

Manaithiya, A.; Bhowmik, R.; Elhenawy, A. A.; Sharma, S.; Dinesh, S.; Parkkila, S.; Aspatwar, A.

doi:10.1101/2024.05.05.592582

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bioRxiv · 10.1101/2024.05.05.592582

Molecular Insights into Zea mays Active Phytochemicals for Diabetes and Inflammation Treatment: A Web App-Based Machine Learning and Network Pharmacology Approach

Manaithiya, A.·Bhowmik, R.·Elhenawy, A. A.·Sharma, S.·Dinesh, S.·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Withdrawal StatementThe authors have withdrawn their manuscript owing to the inability to complete the revisions or follow up on the manuscript at this time, due to personal circumstances.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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Manaithiya, A., Bhowmik, R., Elhenawy, A. A., Sharma, S., Dinesh, S., Parkkila, S., Aspatwar, A.. 2024-05-05. Molecular Insights into Zea mays Active Phytochemicals for Diabetes and Inflammation Treatment: A Web App-Based Machine Learning and Network Pharmacology Approach. https://doi.org/10.1101/2024.05.05.592582

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