Computational Protein Design
Embedded Files
Engineering Biomolecules
Molecular Dynamic Simulation
Machine Learning
Our research is dedicated to advancing the field through the development and utilization of cutting-edge computational and theoretical techniques. Our focus is on gaining a deeper understanding of complex chemical and biomolecular systems and their intricate reactions. We delve into diverse areas of chemistry, exploring a broad spectrum of chemical and biochemical systems.
Areas of Interest
Areas of Interest
Computational Techniques:
Computational Techniques:
- Molecular dynamics
- Machine learning
- Docking
- ab initio/DFT
- Computational mutagenesis and
- de novo protein design tools
Experimental Techniques:
Experimental Techniques:
Various biochemistry and molecular biology techniques
Various biochemistry and molecular biology techniques
Engineering biomolecules for the development of therapeutic drugs against infectious diseases such as COVID-19
Engineering biomolecules for the development of therapeutic drugs against infectious diseases such as COVID-19
Investigate Triple-negative breast cancer and develop theraputics
Investigate Triple-negative breast cancer and develop theraputics
Missense mutations in proteins that are related to cancer and genetic disorders
Missense mutations in proteins that are related to cancer and genetic disorders
Engineering biomolecules for the development of therapeutic drugs against infectious diseases such as COVID-19
Engineering biomolecules for the development of therapeutic drugs against infectious diseases such as COVID-19
Structure and Function study of membrane proteins
Structure and Function study of membrane proteins
Computational study of Conjugated Polymers for solar cell applications
Computational study of Conjugated Polymers for solar cell applications
Research Funding:
Agency: NSF, Grant number: 2431276, Role on grant: PI, Dates: 08/2024-08/2026, Amount: $200,000, Title: Planning: Center for Renewable Energy and Biotechnology (CREB)
Agency: NIH, Grant number: P30 GM145765, Role on grant: Pilot PI, Dates: 09/2023-08/2025, Amount: $100,000, Title: Finding and evaluating mutations in phenylalanine-4-hydroxylase (PAH) to develop targeted therapeutics for Phenylketonuria (PKU)
Agency: NIH, Grant number: U54 MD015959, Role on grant: Research Core PI, Dates: 09/2023-08/2027, Amount: $1,600,583, Title: Integrating Low-Cost Paper-Based Devices and Personalized Immunotherapeutics to Treat Triple Negative Breast Cancer
Agency: NIH, Grant number: 3U54MD015959-02S1, Role on grant: Co-PD, Dates: 09/2023-08/2025, Amount: $598,891, Title: Interdisciplinary Health Equity Research (IHER) Center - DSU Data Science Research and Education Hub
Agency: NSF ACCESS, Grant number: 2138259/CHE210078, Role on grant: PI, Dates: 09/2022-01/2025, Title: Computational design and optimization of small molecule and protein inhibitors for the use against variants of SARS-CoV-2
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