Mohamed Diwan AbdulHameed, PhD
MPharm, Birla Institute of Technology, India
PhD, University of Kentucky, USA
Dr. Mohamed Diwan AbdulHameed is a Group Leader and computational toxicologist at the Department of Defense Biotechnology High Performance Computing Software Applications Institute (BHSAI), where he leads computational toxicology and drug discovery efforts, and serves as a subject-matter expert in AI and toxicogenomics.
| AbdulHameed, M.D.M. et al. Systems level analysis and identification of pathways and networks associated with liver fibrosis. PLOS ONE 2014, 9, e112193. |
| AbdulHameed, M.D.M. et al. Predicting rat and human pregnane X receptor activators using Bayesian classification models. Chem. Res. Toxicol. 2016, 29, 1729-1740. |
| AbdulHameed, M.D.M. et al. Mining kidney toxicogenomic data by using gene co-expression modules. BMC Genomics 2016, 17, 790. |
| AbdulHameed, M.D.M. et al. Mining public toxicogenomic data reveals insights and challenges in delineating liver steatosis adverse outcome pathways. Front. Genet. 2019, 10, 1007. |
| AbdulHameed, M.D.M. et al. ToxProfiler: Toxicity-target profiler based on chemical similarity. Comput. Toxicol. 2021, 18, 100162. |
| AbdulHameed, M.D.M. et al. Using a graph convolutional neural network model to identify bile salt export pump inhibitors. ACS Omega 2023, 8, 21853-21861. |
| AbdulHameed, M.D.M. et al. MONSTROUS: a web-based chemical-transporter interaction profiler. 2025, Front. Pharmacol. 16:1498945. |
| Dey, S.; Wallqvist, A.; AbdulHameed, M.D.M. Enhancing classification of imbalanced muscarinic receptor M1 datasets using transfer learning and generative AI techniques. Sci. Rep., 2025, 15:16486. |
Area of Research
Institution Affiliations
HJF Research Scientist III in support of Department of Defense Biotechnology High Performance Computing Software Applications Institute (BHSAI), Medical Research and Development Command.