APA (7th ed.) Citation

Anjum, M. N., Nadeem, S., Al-Amin, M., Saalim, M., Siddique, F., Afzal, S., & Nisar, N. (2026). Discovery of potent ALK tyrosine kinase inhibitors for thyroid cancer via machine learning modeling, molecular docking, MD simulations, and DFT study. Computational Biology & Chemistry, 123, N.PAG. https://doi.org/10.1016/j.compbiolchem.2026.108960

Chicago Style (17th ed.) Citation

Anjum, Muhammad Naveed, Sumaira Nadeem, Md Al-Amin, Muhammad Saalim, Farhan Siddique, Samina Afzal, and Nida Nisar. "Discovery of Potent ALK Tyrosine Kinase Inhibitors for Thyroid Cancer via Machine Learning Modeling, Molecular Docking, MD Simulations, and DFT Study." Computational Biology & Chemistry 123 (2026): N.PAG. https://doi.org/10.1016/j.compbiolchem.2026.108960.

MLA (9th ed.) Citation

Anjum, Muhammad Naveed, et al. "Discovery of Potent ALK Tyrosine Kinase Inhibitors for Thyroid Cancer via Machine Learning Modeling, Molecular Docking, MD Simulations, and DFT Study." Computational Biology & Chemistry, vol. 123, 2026, p. N.PAG, https://doi.org/10.1016/j.compbiolchem.2026.108960.