Order Article Reprints

Ajmal A, Danial M, Zulfat M, Numan M, Zakir S, Hayat C, Alabbosh KF, Zaki MEA, Ali A, Wei D. In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches. Pharmaceuticals. 2024; 17(5):551. https://doi.org/10.3390/ph17050551

Ajmal, Amar, Muhammad Danial, Maryam Zulfat, Muhammad Numan, Sidra Zakir, Chandni Hayat, Khulood Fahad Alabbosh, Magdi E. A. Zaki, Arif Ali, and Dongqing Wei. 2024. "In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches" Pharmaceuticals 17, no. 5: 551. https://doi.org/10.3390/ph17050551

Ajmal, A., Danial, M., Zulfat, M., Numan, M., Zakir, S., Hayat, C., Alabbosh, K. F., Zaki, M. E. A., Ali, A., & Wei, D. (2024). In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches. Pharmaceuticals, 17(5), 551. https://doi.org/10.3390/ph17050551