Influence of Hydroxyproline on Mechanical Behavior of Collagen Mimetic Proteins Under Fraying Deformation—Molecular Dynamics Investigations

Abstract

Molecular dynamics modeling is used to simulate, model, and analyze mechanical deformation behavior and predictive properties of three different synthetic collagen proteins obtained from RSC-PDB, 1BKV, 3A08, and 2CUO, with varying concentrations of hydroxyproline (HYP). Hydroxyproline is credited with providing structural support for the collagen protein molecules. Hydroxyproline's influence on these three synthetic collagen proteins' mechanical deformation behavior and predictive properties is investigated in this paper. A detailed study and inference of the protein's mechanical characteristics associated with HYP content are investigated through fraying deformation behavior. A calculated Gibbs free energy value (ΔG) of each polypeptide α chain that corresponds with a complete unfolding of a single polypeptide α-chain from a triple-helical protein is obtained with umbrella sampling. The force needed for complete separation of the polypeptide α-chain from the triple-helical protein is analyzed for proteins to understand the influence of HYP concentration and is discussed in this paper. Along with a difference in ΔG, different unfolding pathways for the molecule and individual chains are observed. The correlation between the fraying deformation mechanical characteristics and the collagen proteins' hydroxyproline content is provided in this study via the three collagen proteins' resulting binding energies.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 04, 2021
Source ID
10.1115/1.4050648

Entities

People

  • Atul Rawal
  • Kristen L. Rhinehardt
  • Max Pendse
  • Ram Mohan

Organizations

  • Army Research Office
  • North Carolina Agricultural and Technical State University

Tags

Readers

  • Analytical Chemistry
  • Materials Science and Engineering.
  • Molecular and Cellular Biochemistry

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference