Moyosoore Mopelola Adegbaju
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Moyosoore Mopelola Adegbaju's research focuses on the design and discovery of new HIV-1 RT inhibitors, employing generative artificial intelligence, virtual screening, and molecular dynamics simulations. This work contributes to the ongoing efforts in developing novel therapeutic strategies against HIV-1. Adegbaju collaborates with researchers from the University of Arkansas at Little Rock and the University of Arkansas for Medical Sciences, including Mujeebat Bashiru, Rachael Oluwakamiye Abolade, and Chimezie Finian Nwadinigwe, as indicated by shared publications.
Metrics
- h-index: 2
- Publications: 3
- Citations: 22
Selected Publications
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Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations (2025)
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Enhancing early detection of pancreatic cancer by integrating AI with advanced imaging techniques (2024)
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The role of modern spectroscopy and chromatography in actinide and lanthanide chemistry for nuclear forensics (2024)
Collaboration Network
Top Collaborators
- The role of modern spectroscopy and chromatography in actinide and lanthanide chemistry for nuclear forensics
- The role of modern spectroscopy and chromatography in actinide and lanthanide chemistry for nuclear forensics
- The role of modern spectroscopy and chromatography in actinide and lanthanide chemistry for nuclear forensics
- Enhancing early detection of pancreatic cancer by integrating AI with advanced imaging techniques
- Enhancing early detection of pancreatic cancer by integrating AI with advanced imaging techniques
- Enhancing early detection of pancreatic cancer by integrating AI with advanced imaging techniques
- Enhancing early detection of pancreatic cancer by integrating AI with advanced imaging techniques
- Enhancing early detection of pancreatic cancer by integrating AI with advanced imaging techniques
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
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