Biography and Research Information
OverviewAI-generated summary
Chimezie Finian Nwadinigwe's research focuses on the design and discovery of new HIV-1 RT inhibitors. This work utilizes generative artificial intelligence, virtual screening, and molecular dynamics simulations. Nwadinigwe is affiliated with the University of Arkansas for Medical Sciences and has a publication in 2025 detailing these computational drug discovery methods. Key collaborators include Mujeebat Bashiru from the University of Arkansas at Little Rock and Rachael Oluwakamiye Abolade and Moyosoore Mopelola Adegbaju from the University of Arkansas for Medical Sciences, with whom Nwadinigwe shares a publication.
Metrics
- Publications: 1
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)
Collaboration Network
Top Collaborators
Damilola S. Bodun
Covenant University (NG)
1 shared publication
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Rachael Oluwakamiye Abolade
University of Arkansas for Medical Sciences
1 shared publication
In database
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Mujeebat Bashiru
University of Arkansas at Little Rock
1 shared publication
In database
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Moyosoore Mopelola Adegbaju
University of Arkansas for Medical Sciences
1 shared publication
In database
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Adedoyin John‐Joy Owolade
Obafemi Awolowo University (NG)
1 shared publication
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Wilberforce K. Ndarawit
University of Embu (KE)
1 shared publication
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Oladimeji E. Soremekun
University of Ibadan (NG)
1 shared publication
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Somtochukwu John Ibeh
University of Lagos (NG)
1 shared publication
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Temitope Ibukunoluwa Adegbenro
University of Lagos (NG)
1 shared publication
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Emmanuel Sunday Omirin
Babcock University (NG)
1 shared publication
- Design and Discovery of New HIV‐1 RT Inhibitors Using Generative AI, Virtual Screening, and Molecular Dynamics Simulations
Similar Researchers
Based on overlapping research topics
Moyosoore Mopelola Adegbaju
University of Arkansas for Medical Sciences
Computational Drug Discovery Methods
HIV/AIDS Research and Interventions
Molecular Biology Techniques and Applications
Curtis Goolsby
University of Arkansas at Fayetteville
Computational Drug Discovery Methods
Molecular Biology Techniques and Applications
Advanced Neural Network Applications
Izzati Ibrahim
Arkansas State University
Computational Drug Discovery Methods
Molecular Biology Techniques and Applications
Advanced Neural Network Applications
Rachael Oluwakamiye Abolade
University of Arkansas for Medical Sciences
Computational Drug Discovery Methods
HIV/AIDS Research and Interventions
Advanced Neural Network Applications
Adithya Polasa Vivek Govind Kumar
University of Arkansas at Fayetteville
Computational Drug Discovery Methods
Molecular Biology Techniques and Applications
Sayo Fakayode
University of Arkansas – Fort Smith
Computational Drug Discovery Methods
Molecular Biology Techniques and Applications