PIs:
Dr. Kyle Lampe
Associate Professor,
Department of Chemical Engineering,
University of Virginia
and
Dr. Camille Bilodeau,
Assistant Professor,
Department of Chemical Engineering,
University of Virginia
Develop a Predictive Model: Create a computational model to identify pentapeptide sequences with optimal assembly kinetics, enabling the design of peptide-based materials with tailored properties.
Investigate Sequence-Dependent Assembly: Systematically study how different pentapeptide sequences influence supramolecular assembly dynamics, focusing on the role of specific amino acid interactions and assembly propensity.
Replicate Experimental Conditions: Utilize AMBER simulations to replicate experimental conditions, optimizing key modeling parameters to reflect the positional dependence and amphiphilicity of certain amino acids in assembly processes.
Design Tailored Peptide-Based Materials: Uncover critical structure-function relationships in pentapeptides to guide the development of novel peptide-based platforms for controlled scaffold formation in biomedical applications.
Adapt Materials to Physiological Conditions: Ensure the designed pentapeptides maintain structural integrity and assembly behavior in physiological conditions, promoting their use in tissue engineering and other biomedical fields.
Supervisor:
Dr. Iftheker Ahmed Khan,
Assistant Professor,
Department of Chemical Engineering,
Bangladesh University of Engineering and Technology (BUET)
GO Preparation from Graphite Powder using the modified hummers method
•GO-Ag nanocomposite synthesis and characterization
•Analyzing the efficacy of the impregnated paper in bacteria and heavy metal removal
•Assessment of cytotoxicity and physicochemical properties
Supervisor:
Dr.Md. Shahinoor Islam,
Professor,
Department of Chemical Engineering,
Bangladesh University of Engineering and Technology (BUET)
Synthesis Processes
Mechanical and Thermal properties
Application Fields analysis
Summarizing relevant Journal Papers