Presentation Type
Poster
A Statistical Mechanical Model of Proteoglycan-Collagen Fibrils
Abstract
Proteoglycans play a key role in fibril organization. Proteoglycans bind to the surfaces of collagen fibrils affecting their arrangement. A statistical model was constructed to determine the thermodynamics of proteoglycan-connected collagen fibrils that can be used to understand the formation of collagenous tissues. This model was found to be similar to a clock model. A Metropolis Monte-Carlo algorithm generated sample states of the collagen fibrils for different densities of proteoglycan, at different temperatures. Heat capacities, energies, displacements, and other properties were calculated from these states.The data show areas of interest and a possible phase transition at different temperatures depending on the density.
Categories
Engineering/Physical Science
Research Type
Research Assistant
Mentor Information
Dr. Sagar Pandit
A Statistical Mechanical Model of Proteoglycan-Collagen Fibrils
Proteoglycans play a key role in fibril organization. Proteoglycans bind to the surfaces of collagen fibrils affecting their arrangement. A statistical model was constructed to determine the thermodynamics of proteoglycan-connected collagen fibrils that can be used to understand the formation of collagenous tissues. This model was found to be similar to a clock model. A Metropolis Monte-Carlo algorithm generated sample states of the collagen fibrils for different densities of proteoglycan, at different temperatures. Heat capacities, energies, displacements, and other properties were calculated from these states.The data show areas of interest and a possible phase transition at different temperatures depending on the density.
