APA (7th ed.) Citation

BS, A., I, A., B, A., A, A., AA, A., K, K., & S, B. (2025). Machine learning-driven docking of diverse DDAs as promising cysteine protease inhibitors targeting Mpox virus. In silico pharmacology, 13(2), 85. https://doi.org/10.1007/s40203-025-00374-w

Chicago Style (17th ed.) Citation

BS, Alotaibi, Ahmad I, Almutairy B, Alkhammash A, Alsaiari AA, Khan K, and Burki S. "Machine Learning-driven Docking of Diverse DDAs as Promising Cysteine Protease Inhibitors Targeting Mpox Virus." In Silico Pharmacology 13, no. 2 (2025): 85. https://doi.org/10.1007/s40203-025-00374-w.

MLA (9th ed.) Citation

BS, Alotaibi, et al. "Machine Learning-driven Docking of Diverse DDAs as Promising Cysteine Protease Inhibitors Targeting Mpox Virus." In Silico Pharmacology, vol. 13, no. 2, 2025, p. 85, https://doi.org/10.1007/s40203-025-00374-w.