Ouassaf, M.; Mazri, R.; Khan, S.U.; Rengasamy, K.R.R.; Alhatlani, B.Y.
Machine Learning-Guided Screening and Molecular Docking for Proposing Naturally Derived Drug Candidates Against MERS-CoV 3CL Protease. Int. J. Mol. Sci. 2025, 26, 3047.
https://doi.org/10.3390/ijms26073047
AMA Style
Ouassaf M, Mazri R, Khan SU, Rengasamy KRR, Alhatlani BY.
Machine Learning-Guided Screening and Molecular Docking for Proposing Naturally Derived Drug Candidates Against MERS-CoV 3CL Protease. International Journal of Molecular Sciences. 2025; 26(7):3047.
https://doi.org/10.3390/ijms26073047
Chicago/Turabian Style
Ouassaf, Mebarka, Radhia Mazri, Shafi Ullah Khan, Kannan R. R. Rengasamy, and Bader Y. Alhatlani.
2025. "Machine Learning-Guided Screening and Molecular Docking for Proposing Naturally Derived Drug Candidates Against MERS-CoV 3CL Protease" International Journal of Molecular Sciences 26, no. 7: 3047.
https://doi.org/10.3390/ijms26073047
APA Style
Ouassaf, M., Mazri, R., Khan, S. U., Rengasamy, K. R. R., & Alhatlani, B. Y.
(2025). Machine Learning-Guided Screening and Molecular Docking for Proposing Naturally Derived Drug Candidates Against MERS-CoV 3CL Protease. International Journal of Molecular Sciences, 26(7), 3047.
https://doi.org/10.3390/ijms26073047