Studi Perubahan Sifat Struktur dan Termodinamik Pelipatan Protein Model H0P Menggunakan Simulasi Monte Carlo dengan Algoritma Wang-Landau
Abstract
Protein folding is a process of folding a protein from a one-dimensional form into a three-dimensional shape as its functional form, and this process is very challenging to be experimentally investigated due to the highly complex shape of proteins. Therefore, a simplified protein shape model and a method for simulating protein folding are needed. The model used in this research is the H0P model, where the protein-forming amino acids are mapped into 3 monomers: 'H' for hydrophobic, '0' for neutral, and 'P' for polar. In this study, the protein folding was simulated using Monte Carlo (MC) simulation with the Wang-Landau (WL) Algorithm. The purpose of the WL algorithm is to directly calculate the density of states (DOS), then calculate thermodynamic quantities such as specific heat (Cv), and structural quantities such as radius of gyration (Rg) and tortuosity (τ). Based on the curves of Cv(T), Rg(T), and τ(T) changes, it was found that protein folding undergoes two processes, namely coil-globule collapse and folding transition.
Downloads
References
Ciemny, M. P., et al. (2019). Modelling of Disordered Protein Structures Using Monte Carlo Simulations and Knowledge-Based Statistical Force Fields. Journal of Molecular Science, 20. 1-15.
Farris, A. C. K., Wust, T., & Landau, D. P. (2019). Appl Physics Meets Biochemistry: Wang-Landau Sampling of the HP Model of Protein Folding. American Journal of Physics, 87(4), 311-316.
Ferina, J., & Dagget, V. (2019). Visualizing Protein Folding and Folding. Journal of Molecular Biology, 431.
Liu, S., Wu, K., & Chen, C. (2022). Obtaining Protein Foldability Information From Computational Models of Alphafold2 and Rosettafold. Computational and Structural Biotechnology Journal, 20. 4481-4489.
Moreno, F., Davis, S., & Peralta, J. (2022). A Portable and Flexible Implementation of The Wang-Landau Algorithm in Order to Determine The Density of States. Computer Physics Communications, 274.
Nithiyanandam, S., et al. (2023). Computational Prediction of Protein Folding Rate Using Structural Parameters and Network Centrality Measures. Computers in Biology and Medicine, 155. 1-8.
Privalov, P. L. (1997). Thermodynamics of Protein Folding. The Journal of Chemical Thermodynamics, 29. 447-474.
Shi, G. (2016). Replica-Exchange Wang-Landau Simulations of Lattice Proteins for The Understanding of The Protein Folding Problem. University of Georgia.
Shi, G., et al. (2015). Protein Folding of the H0P Model: A Parallel Wang-Landau Study. Journal of Physics: Conference Series, 640. 1-6.
Shchur, L. N. (2019). On Properties of The Wang–Landau Algorithm. J. Phys. Conf. Ser., 1252. 1-7.
Milstein, J. L., & Ferris, H. A. (2021). The Brain as an Insulin-Sensitive Metabolic Organ. Molecular Metabolism, 52. 1-17.