Get started
Author

Rand O. Shahin

Observed names: Rand Shahin, Shahin, Rand
ORCID: 0000-0001-7330-4433
Observed ORCID: 0000-0001-7330-4433
OpenAlex ID: A5078351905
Kinesin Spindle Protein Inhibitors in Cancer: From High Throughput Screening to Novel Therapeutic Strategies
2022 · Rand Shahin, Salah Aljamal · Future Science OA · 56
Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors
2011 · Rand Shahin, Saja AlQtaishat, et al. · Journal of Computer-Aided Molecular Design · 41
Elaborate ligand-based modeling and subsequent synthetic exploration unveil new nanomolar Ca2+/calmodulin-dependent protein kinase II inhibitory leads
2011 · Rand Shahin, Mutasem O. Taha · Bioorganic & Medicinal Chemistry · 35
Identification of novel inhibitors for Pim-1 kinase using pharmacophore modeling based on a novel method for selecting pharmacophore generation subsets
2015 · Rand Shahin, Lubna Swellmeen, et al. · Journal of Computer-Aided Molecular Design · 28
Tracking protein kinase targeting advances: integrating QSAR into machine learning for kinase-targeted drug discovery
2025 · Rand Shahin, Sawsan Jaafreh, et al. · Future Science OA · 27
PDF
Structure based drug design of Pim-1 kinase followed by pharmacophore guided synthesis of quinolone-based inhibitors
2017 · Lubna Swellmeen, Rand Shahin, et al. · Bioorganic & Medicinal Chemistry · 22
Research Advances in Kinase Enzymes and Inhibitors for Cardiovascular Disease Treatment
2017 · Rand Shahin, Omar Shaheen, et al. · Future Science OA · 21
PDF
Ligand-based computer aided drug design reveals new tropomycin receptor kinase a (TrkA) inhibitors
2018 · Rand Shahin, Iman Mansi, et al. · Journal of Molecular Graphics and Modelling · 16
Investigation of Binding Characteristics of Phosphoinositide-dependent Kinase-1 (PDK1) Co-crystallized Ligands Through Virtual Pharmacophore Modeling Leading to Novel Anti-PDK1 Hits
2019 · Iman A. Mansi, Mahmoud A. Al-Sha'er, et al. · Medicinal Chemistry · 14
Cetyl‐alcohol‐reinforced hollow fiber solid/liquid‐phase microextraction and HPLC–DAD analysis of ezetimibe and simvastatin in human plasma and urine
2018 · Nabil N. AL‐Hashimi, Rand O. Shahin, et al. · Biomedical Chromatography · 8
QSAR-guided pharmacophoric modeling reveals important structural requirements for Polo kinase 1 (Plk1) inhibitors
2021 · Rand Shahin, Nabil N. AL-Hashimi, et al. · Journal of Molecular Graphics and Modelling · 7
Functionalized Multi Walled Carbon Nanotubes-Reinforced Hollow Fiber Solid/Liquid Phase Microextraction and HPLC-DAD for Determination of Phenazopyridine in Urine
2018 · Nabil N. Al-Hashimi, Anas I. Awwad, et al. · Current Pharmaceutical Analysis · 7
A comprehensive in-silico approach (pharmacophoric QSAR and docking-based comparative intermolecular analysis) led to identifying new PIM2 kinase inhibitors for treating resistant lymphomas
2025 · Rand Shahin, Sawsan Jaafreh, et al. · Letters in Drug Design & Discovery · 5
Synthesis of Fluoroquinolones Derivatives as Antimicrobial Agents
2019 · Lubna Swellmeen, Amal Uzrail, et al. · Oriental Journal Of Chemistry · 4
PDF
A new approach for determination of urinary 8-hydroxy-2′-deoxyguanosine in cancer patients using reinforced solid/liquid phase microextraction combined with HPLC-DAD
2023 · Nabil N. Al-Hashimi, Rand O. Shahin, et al. · Acta Chromatographica · 3
PDF
Development of Dioctyl Phthalate@Fe3O4 Nanocomposite Reinforced Hollow Fiber Solid/ Liquid Phase Microextraction Followed by HPLC-DAD for the Determination of Atorvastatin and Gemfibrozil in Human Urine
2021 · Nabil N. AL-Hashimi, Majed H. Shtaiwi, et al. · Pharmaceutical Nanotechnology · 3
Green Synthesis, Characterization, and Biological Activity of 4-Aminoquinoline Derivatives: Exploring Antibacterial Efficacy, MRSA Inhibition, and PBP2a Docking Insights
2025 · Lo’ay Ahmed Al-Momani, Ula A. Abu Shawar, et al. · Chemistry · 2
PDF
Discovery of Novel Polycyclic Aromatic Inhibitors of Anaplastic Lymphoma Kinase (ALK) via Integrated QSAR Modeling, Machine Learning, and Pharmacophore-Guided Virtual Screening with AI-Assisted Mechanistic Interpretation of Structure–Activity Relationships
2026 · Rand Shahin, Hiba Zalloum, et al. · Research Square
PDF
Discovery of Novel Polycyclic Aromatic Inhibitors of Anaplastic Lymphoma Kinase (ALK) via Integrated QSAR Modeling, Machine Learning, and Pharmacophore-Guided Virtual Screening with AI-Assisted Mechanistic Interpretation of Structure–Activity Relationships
2026 · Shahin, Rand · Zenodo (CERN European Organization for Nuclear Research)
Discovery of novel acridine based inhibitors of Bruton’s tyrosine kinase (BTK) via pharmacophore modeling and machine learning-driven virtual screening followed by molecular dynamic studies
2026 · Rand Shahin, Sawsan Jaafreh, et al. · Journal of Computer-Aided Molecular Design
PDF
Bridging the antiviral drug design gap: a combined machine learning and QSAR approach for drug repurposing of host kinase inhibitors
2026 · Rand Shahin, Yusra Azzam, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics
PDF
Substance Use and Misuse in Jordan: A Scoping Review of the Empirical Literature, 2013–2026
2026 · Rand Shahin, Saja Alnahar, et al.
Works count: 26
Citation count: 299
H-index: 9
I10-index: 9
Year
Topic
Type