Ahmed, W., Ashraf, T., Saleem, M. T., Mahmoud, E. E., Ali, K., Zaman, S., & Belay, M. B. (2025). Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-01594-y
ISO-690 (author-date, English)AHMED, Wakeel, ASHRAF, Tamseela, SALEEM, Maliha Tehseen, MAHMOUD, Emad E., ALI, Kashif, ZAMAN, Shahid und BELAY, Melaku Berhe, 2025. Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks. Scientific Reports. 1 Dezember 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-01594-y.
Modern Language Association 9th editionAhmed, W., T. Ashraf, M. T. Saleem, E. E. Mahmoud, K. Ali, S. Zaman, und M. B. Belay. „Computational Approaches in Drug Chemistry Leveraging Python Powered QSPR Study of Antimalaria Compounds by Using Artificial Neural Networks“. Scientific Reports, Bd. 15, Nr. 1, Dezember 2025, https://doi.org/10.1038/s41598-025-01594-y.
Mohr Siebeck - Recht (Deutsch - Österreich)Ahmed, Wakeel/Ashraf, Tamseela/Saleem, Maliha Tehseen/Mahmoud, Emad E./Ali, Kashif/Zaman, Shahid u. a.: Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks, Scientific Reports 2025,
Emerald - HarvardAhmed, W., Ashraf, T., Saleem, M.T., Mahmoud, E.E., Ali, K., Zaman, S. und Belay, M.B. (2025), „Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks“, Scientific Reports, Vol. 15 No. 1, verfügbar unter:https://doi.org/10.1038/s41598-025-01594-y.