Mohamed Diwan Abdulhameed

Research Scientist @The Henry M. Jackson Foundation for the Advancement of Military Medicine

Frederick, MD, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2014 — Present

Research Scientist @The Henry M. Jackson Foundation for the Advancement of Military Medicine

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Frederick, MD, US

Principal investigator in computational toxicology/drug discovery projects with a focus on developing cheminformatics methodologies and tools to assist in hit prioritization and ADMET prediction.* Managing countermeasure discovery project focused on muscarinic receptors* Developing machine learning models and methods to improve ligand-based virtual screening approach* Toxicogenomic data analysis to understand mechanisms of toxicity* Developed correction based on shuffling (CBOS) approach that improves the performance of 3D ligand-based virtual screening* Supervise the development of software applications to aid in hit prioritization* Manage collaborations with experimental groups from Alchem, Fl, and Vanderbilt University, TNToxProfiler- Created tool to predict chemical-toxicity target interaction: https://toxpro.bhsai.org/loginLiver Steatosis- Developing a computational tool to predict liver steatosis using integrated cheminformatics and toxicogenomics approachesADME/TOX models- Developed predictive, species-specific (rat/human) pregnane X receptor (PXR) QSAR models using the Bayesian approach - Utilized chemical similarity networks to explore the chemical space- SME for developing DoD BHSAI cheminformatics systemAcute Kidney Injury (AKI)- Generated the first compendium of gene co-expression modules in rat kidney tissue after exposure to diverse toxicants- Utilized machine learning approaches and developed a gene expression-based classification model that can predict the future onset of acute kidney injury- Identified for the first time the involvement of immunoproteasomes in acute kidney injuryLiver Fibrosis- Developed a computational protocol to integrate gene expression data with protein-protein interaction networks and identify de novo toxicity pathways- Identified new gene signature for detecting liver fibrosis and experimentally validated it animal exposure studies (U.S. patent)

EDUCATION

2004 — 2009

University of Kentucky

Ph.D.

2000 — 2002

Birla Institute of Technology, Mesra

M.Pharm

1996 — 2000

Madurai Medical College

B.Pharm

SKILLS

Drug DiscoveryDrug DesignBiochemistryComputational ChemistryMolecular BiologyMolecular ModelingMedicinal ChemistryHomology ModelingSystems BiologyVirtual ScreeningMolecular DynamicsProtein ChemistryQsarMicroarray AnalysisToxicogenomicsPharmacophore ModelingComputational BiologyPharmacologyComputational ToxicologyRData MiningMachine LearningBig DataSystems PharmacologyBiomarker DiscoveryLife SciencesCheminformaticsCancerData AnalysisBiomarkersBioinformaticsPharmaceutical IndustryResearch and Development (R&D)Biomedical InformaticsBiomedical Data AnalysisSql

ABOUT MOHAMED DIWAN ABDULHAMEED

I lead computational toxicology and AI-driven drug discovery research, building…

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Mohamed Diwan Abdulhameed — Research Scientist at The Henry M. Jackson Foundation for the Advancement of Military Medicine in Frederick, MD, US | Unifers