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), 1-22. https://doi.org/10.1186/s13065-024-01266-4

AHMED, Wakeel, ZAMAN, Shahid, ASIF, Eizzah, ALI, Kashif, MAHMOUD, Emad E. und ASHEBOSS, Mamo Abebe, 2024. Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms. BMC Chemistry. 12 September 2024. Vol. 18, no. 1, p. 1-22. DOI 10.1186/s13065-024-01266-4.

Ahmed, W., S. Zaman, E. Asif, K. Ali, E. E. Mahmoud, und M. A. Asheboss. „Exploring the Role of Topological Descriptors to Predict Physicochemical Properties of Anti-HIV Drugs by Using Supervised Machine Learning Algorithms.“. BMC Chemistry, Bd. 18, Nr. 1, September 2024, S. 1-22, https://doi.org/10.1186/s13065-024-01266-4.

Ahmed, Wakeel/Zaman, Shahid/Asif, Eizzah/Ali, Kashif/Mahmoud, Emad E./Asheboss, Mamo Abebe: Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms., BMC Chemistry 2024, 1-22.

Ahmed, W., Zaman, S., Asif, E., Ali, K., Mahmoud, E.E. und 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, Vol. 18 No. 1, S. 1-22.