Jawarkar, R.D.; Sharma, P.; Jain, N.; Gandhi, A.; Mukerjee, N.; Al-Mutairi, A.A.; Zaki, M.E.A.; Al-Hussain, S.A.; Samad, A.; Masand, V.H.;
et al. QSAR, Molecular Docking, MD Simulation and MMGBSA Calculations Approaches to Recognize Concealed Pharmacophoric Features Requisite for the Optimization of ALK Tyrosine Kinase Inhibitors as Anticancer Leads. Molecules 2022, 27, 4951.
https://doi.org/10.3390/molecules27154951
AMA Style
Jawarkar RD, Sharma P, Jain N, Gandhi A, Mukerjee N, Al-Mutairi AA, Zaki MEA, Al-Hussain SA, Samad A, Masand VH,
et al. QSAR, Molecular Docking, MD Simulation and MMGBSA Calculations Approaches to Recognize Concealed Pharmacophoric Features Requisite for the Optimization of ALK Tyrosine Kinase Inhibitors as Anticancer Leads. Molecules. 2022; 27(15):4951.
https://doi.org/10.3390/molecules27154951
Chicago/Turabian Style
Jawarkar, Rahul D., Praveen Sharma, Neetesh Jain, Ajaykumar Gandhi, Nobendu Mukerjee, Aamal A. Al-Mutairi, Magdi E. A. Zaki, Sami A. Al-Hussain, Abdul Samad, Vijay H. Masand,
and et al. 2022. "QSAR, Molecular Docking, MD Simulation and MMGBSA Calculations Approaches to Recognize Concealed Pharmacophoric Features Requisite for the Optimization of ALK Tyrosine Kinase Inhibitors as Anticancer Leads" Molecules 27, no. 15: 4951.
https://doi.org/10.3390/molecules27154951
APA Style
Jawarkar, R. D., Sharma, P., Jain, N., Gandhi, A., Mukerjee, N., Al-Mutairi, A. A., Zaki, M. E. A., Al-Hussain, S. A., Samad, A., Masand, V. H., Ghosh, A., & Bakal, R. L.
(2022). QSAR, Molecular Docking, MD Simulation and MMGBSA Calculations Approaches to Recognize Concealed Pharmacophoric Features Requisite for the Optimization of ALK Tyrosine Kinase Inhibitors as Anticancer Leads. Molecules, 27(15), 4951.
https://doi.org/10.3390/molecules27154951
