APA (7th ed.) Citation

Chongjun, Y., Nasr, A., Latif, M., Rahman, M., Marlisah, E., & Tejo, B. (2024). Predicting repurposed drugs targeting the NS3 protease of dengue virus using machine learning-based QSAR, molecular docking, and molecular dynamics simulations. Taylor and Francis.

Chicago Style (17th ed.) Citation

Chongjun, Y., A.M.S Nasr, M.A.M Latif, M.B.A Rahman, E. Marlisah, and B.A Tejo. Predicting Repurposed Drugs Targeting the NS3 Protease of Dengue Virus Using Machine Learning-based QSAR, Molecular Docking, and Molecular Dynamics Simulations. Taylor and Francis, 2024.

MLA (9th ed.) Citation

Chongjun, Y., et al. Predicting Repurposed Drugs Targeting the NS3 Protease of Dengue Virus Using Machine Learning-based QSAR, Molecular Docking, and Molecular Dynamics Simulations. Taylor and Francis, 2024.