Fauzia Haque
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: North South University (2021)
Unknown Researcher
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Biography and Research Information
OverviewAI-generated summary
Fauzia Haque's research focuses on computational methods for drug delivery systems and molecular dynamics simulations. Her work investigates the mechanisms of lipid nanoparticles in drug delivery and utilizes generative models, such as diffusion models and time-lagged autoencoders, to accelerate molecular dynamics simulations for free-energy reconstruction and synthetic trajectory generation. She has published research on active site-specific quantum tunneling of the hACE2 receptor to assess its complexing poses with bioactive compounds for co-suppressing SARS-CoV-2 influx and cardiac injury.
Haque collaborates with researchers at the University of Arkansas at Fayetteville, including Soheil Jamali, Mahmoud Moradi, and Jiahui Chen. Her scholarship metrics include an h-index of 2, with 6 total publications and 36 total citations.
Metrics
- h-index: 2
- Publications: 6
- Citations: 37
Selected Publications
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BPS2026 – Diffusion models for accelerating molecular dynamics: Synthetic trajectory generation and free-energy reconstruction (2026)
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BPS2026 – Developing effective drug delivery systems utilizing molecular dynamics simulations and deep learning (2026)
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BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach (2025)
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Molecular dynamics simulation analysis of the effects and mechanisms of lipid nanoparticles in drug delivery systems (2024)
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Utility of a time-lagged autoencoder for calculating free energy by generating a large number of synthetic trajectories based on molecular dynamics (2024)
Collaboration Network
Top Collaborators
- Molecular dynamics simulation analysis of the effects and mechanisms of lipid nanoparticles in drug delivery systems
- Utility of a time-lagged autoencoder for calculating free energy by generating a large number of synthetic trajectories based on molecular dynamics
- BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach
- BPS2026 – Diffusion models for accelerating molecular dynamics: Synthetic trajectory generation and free-energy reconstruction
- Molecular dynamics simulation analysis of the effects and mechanisms of lipid nanoparticles in drug delivery systems
- Utility of a time-lagged autoencoder for calculating free energy by generating a large number of synthetic trajectories based on molecular dynamics
- BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach
- BPS2026 – Diffusion models for accelerating molecular dynamics: Synthetic trajectory generation and free-energy reconstruction
- BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach
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