APA (7th ed.) Citation

Ahmed, W., Zaman, S., Asif, E., Ali, K., Mahmoud, E. E., & Asheboss, M. A. (2024). Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms. BMC chemistry, 18(1), 167-22. https://doi.org/10.1186/s13065-024-01266-4

Chicago Style (17th ed.) Citation

Ahmed, Wakeel, Shahid Zaman, Eizzah Asif, Kashif Ali, Emad E. Mahmoud, and Mamo Abebe Asheboss. "Exploring the Role of Topological Descriptors to Predict Physicochemical Properties of Anti-HIV Drugs by Using Supervised Machine Learning Algorithms." BMC Chemistry 18, no. 1 (2024): 167-22. https://doi.org/10.1186/s13065-024-01266-4.

MLA (9th ed.) Citation

Ahmed, Wakeel, et al. "Exploring the Role of Topological Descriptors to Predict Physicochemical Properties of Anti-HIV Drugs by Using Supervised Machine Learning Algorithms." BMC Chemistry, vol. 18, no. 1, 2024, pp. 167-22, https://doi.org/10.1186/s13065-024-01266-4.