Mohammad Nooraldeen

1. Al-Qattan, M.N.M. and Mordi, M.N. “Development and application of Fragment-based De novo inhibitors against Plasmodium falciparum GST” Journal of Molecular Modeling (April2022). Submitted under review
2. Al-Qattan, M.N.M. and Mordi, M.N. “Development and application of structure-assisted atom-based de novo molecular design (SAAD) approach using MATLAB” International Journal of Computational Biology and Drug Design (OCT 2021). Submitted delayed review
3. Al-Qattan, M.N.M. and Mordi, M.N. “Molecular basis of modulating adenosine receptors activities”. Current pharmaceutical design (2019). doi: 10.2174/1381612825666190304122624. Impact factor 2.9
4. Shtaiwi, Amneh, Rohana Adnan, Melati Khairuddean, and Mohammed Al-Qattan. "Molecular dynamics simulation of human estrogen receptor free and bound to morpholine ether benzophenone inhibitor." Theoretical Chemistry Accounts 137, no. 7 (2018): 101. https://doi.org/10.1007/s00214-018-2277-1. Impact factor 1.54
5. Al-Qattan, Mohammed N., Pran K. Deb, and Rakesh K. Tekade. "Molecular dynamics simulation strategies for designing carbon-nanotube-based targeted drug delivery." Drug discovery today (2018). 23: 235-250 doi: 10.1016/j.drudis.2017.10.002. Impact factor 6.36
6. Mohammed N. Al-Qattan, Mohd N. Mordi and Sharif M. Mansor. Assembly of ligands interaction models for glutathione-S-transferases from Plasmodium falciparum, human and mouse using enzyme kinetics and molecular docking. Journal of Computational Biology and Chemistry (2016). 25;64:237-249. doi: 10.1016/j.compbiolchem.2016.07.007 Impact factor 1.117
7. Zakaria N. Mahmood, Massudi Mahmuddin, and Mohammed Noorladeen Mahmood. Protein tertiary structure prediction based on main chain angle using a hybrid bees colony optimization algorithm. Int. J. Mod. Phys. Conf. Ser. (International Journal of Modern Physics: Conference Series) Vol. 9 (2012) 143–156.
8. Mohammed N. Al-qattan and Mohd N. Mordi. Docking of sialic acid analogues against influenza A hemagglutinin: a correlational study between experimentally measured and computationally estimated affinities. J Mol Model (2010) 16:1047–1058. DOI:     10.1007/s00894-009-0618-7.  Impact factor 1.867
9. Mohammed N. Al-qattan and Mohd N. Mordi. Site-directed fragment-based generation of virtual sialic acid databases against influenza A hemagglutinin. J Mol Model (2010). 16:975–991. DOI:   10.1007/s00894-009-0606-y. Impact factor 1.867 

Book Chapters

1. Deb, Pran Kishore, Omar Al-Attraqchi, Mohammed Nooraldeen Al-Qattan, Mailavaram Raghu Prasad, and Rakesh K. Tekade. "Applications of Computers in Pharmaceutical Product Formulation." In Dosage Form Design Parameters, pp. 665-703. Academic Press, 2018. https://doi.org/10.1016/B978-0-12-814421-3.00019-1