Presentation Type

Poster

Title of Abstract

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

This document is currently not available here.

Share

COinS
 

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.