Asmaa A. Sadoon
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Director: Rick Wise
Also affiliated: Thi Qar University (2019–2025); United Microelectronics (United States) (2019)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Asmaa A. Sadoon's research investigates fundamental biological processes, with recent work focusing on protein diffusion within bacteria and the mechanisms of DNA amplifying sensors. Sadoon has explored the validity of the Stokes-Einstein equation in describing protein movement inside bacterial cells and employed molecular dynamics simulations to understand DNA sensor amplification. Additionally, Sadoon has contributed to developing practical frameworks for extracting and monitoring antibiotic resistance genes from water samples, integrating separation techniques with molecular quantification. Sadoon's scholarly contributions include 10 publications with 142 citations and an h-index of 5. Key collaborators at the University of Arkansas at Fayetteville include W. F. Oliver, Yong Wang, Jiali Li, and Katherine M. Bullard.
Metrics
- h-index: 5
- Publications: 10
- Citations: 145
Selected Publications
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A Practical Framework for Integrating Basic Separation Techniques with Molecular Quantification to Extract and Monitor Antibiotic Resistance Genes in Water Samples (2025)
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Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations (2025)
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Revisiting the Temperature Dependence of Protein Diffusion inside Bacteria: Validity of the Stokes-Einstein Equation (2022)
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Silver Ions Caused Faster Diffusion of H-NS Proteins in Live E. coli by Weakening the Binding Between H-NS Proteins and DNA (2020)
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Silver Ions Caused Faster Diffusive Dynamics of Histone-Like Nucleoid-Structuring Proteins in Live Bacteria (2020)
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Faster diffusive dynamics of histone-like nucleoid structuring proteins in live bacteria caused by silver ions (2019)
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Nanoscale reorganizations of histone-like nucleoid structuring proteins in <i>Escherichia coli</i> are caused by silver nanoparticles (2019)
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Anomalous Non-Gaussian Viscoelastic and Age-Dependent Dynamics of Histone-Like H-NS Proteins in Live Escherichia coli (2019)
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Anomalous, non-Gaussian, viscoelastic, and age-dependent dynamics of histonelike nucleoid-structuring proteins in live <i>Escherichia coli</i> (2018)
Collaboration Network
Top Collaborators
- Revisiting the Temperature Dependence of Protein Diffusion inside Bacteria: Validity of the Stokes-Einstein Equation
- Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations
- A Practical Framework for Integrating Basic Separation Techniques with Molecular Quantification to Extract and Monitor Antibiotic Resistance Genes in Water Samples
- Revisiting the Temperature Dependence of Protein Diffusion inside Bacteria: Validity of the Stokes-Einstein Equation
- Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations
- Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations
- Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations
- Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations
- Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations
- A Practical Framework for Integrating Basic Separation Techniques with Molecular Quantification to Extract and Monitor Antibiotic Resistance Genes in Water Samples
- A Practical Framework for Integrating Basic Separation Techniques with Molecular Quantification to Extract and Monitor Antibiotic Resistance Genes in Water Samples
- A Practical Framework for Integrating Basic Separation Techniques with Molecular Quantification to Extract and Monitor Antibiotic Resistance Genes in Water Samples
- A Practical Framework for Integrating Basic Separation Techniques with Molecular Quantification to Extract and Monitor Antibiotic Resistance Genes in Water Samples
- A Practical Framework for Integrating Basic Separation Techniques with Molecular Quantification to Extract and Monitor Antibiotic Resistance Genes in Water Samples
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