Investigation on the Effect of Temperature on the Structure of β-Lactoglobulin Based on Molecular Dynamics Simulation

DOI: https://journal.apaph.com/article-detail?id=2037546715708116993

关键词:

β-lactoglobulin molecular dynamics temperatures

摘要

In this study, the structural changes of β-lactoglobulin, the core component of whey protein, in different temperatures (303.15 K, 348.15 K, 373.15 K and 423.15 K) were investigated from a molecular perspective employing the molecular dynamics (MD) simulation method. By analyzing structural parameters such as root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (Rg), and solvent-accessible surface area (SASA), the influence of temperature on the structure of β-lactoglobulin was explored. The results show that within the temperature range of 303.15 K to 373.15 K, the molecular conformation of β-lactoglobulin is relatively stable. However, the relative high temperature (e.g., 423.15 K) might significantly affect the structure of β-lactoglobulin, causing significant aggregation and denaturation, which may subsequently affect the gel properties and nutritional functions of the β-lactoglobulin. Furthermore, based on the visualization results, high temperatures might lead to the protein denaturation.

文献引用

  • 1.Saint-Sauveur, D.; Gauthier, S. F.; Boutin, Y.; Montoni, A.; Fliss, I. Effect of feeding whey peptides on the immune response in healthy and Escherichia coli infected mice. International Dairy Journal 2009, 19(9), 537-544. 2.Wang, Y.; Chen, Y.C.; Wang, C.; Chen, T.T.; Wu, B.; Zhao, X.Y.; Chen, X.Q.; Zhang, J. Functional Properties of Whey Protein and Its Application in Dairy Product Production. China Food Safety Magazine 2021, 18, 40-42. 3.Kong, Q.; Huang, Y.; Xu, W.; Zhang, J.; Liu, B.; Li, S. Interaction between β-Lactoglobulin and Polyphenols Investigated by Molecular Dynamics Simulation. Journal of Food Science and Biotechnology 2022, 41(01), 51-59. 4.Wit, J. N. D. Nutritional and Functional Characteristics of Whey Proteins in Food Products. Journal of Dairy Science 1998, 81(3), 597-608. 5.Wang, B.; Tan, F. Study on Cold and Heat Denaturation of β-Lactoglobulin A with Guanidine Hydrochloride by DSC. Science in China (Series B) 1997, 27(3), 271-275. 6.Ma, Y.; Qiao, Zi.; Zeng, Q.; Yang, P.; Li, L.; Chen, L.; Feng, X. Effects of Different Thermal Sterilization Conditions on Structural and Functional Properties of Whey and Casein Proteins in Goat Milk. Food Science 2024, 45(15, 67-76. 7.Sánchez-Rivera, L.; Ménard, O.; Recio, I.; Dupont, D. Peptide mapping during dynamic gastric digestion of heated and unheated skimmed milk powder. Food Research International 2015, 77, 132-139. 8.Chen, W.; Sun, K.; He ,J. Study on Heat Stability of Whey Protein. Journal of Dairy Science and Technology 2006, 6, 276-279. 9.Smith, J. β-Lactoglobulin is a Thermal Marker in Processed Milk as Studied by Electrophoresis and Circular Dichroic Spectra. Journal of Dairy Science 2020, 103(5), 4000-4010. 10.Chen, S.; Yu, Y.; Han, Q.; Bi, H.; Wu, P.; Huang, R. Application of Molecular Dynamics Simulation in the Design and Optimization of Novel Solvents. Chemistry 2025, 88(05), 519-526+534. 11.Alder, B. J.; Wainwright, T. E. Phase Transition for a Hard Sphere System. The Journal of Chemical Physics 1957, 27, 1208-1209. 12.Rahman, A. Correlations in the Motion of Atoms in Liquid Argon. Physical Review 1964, 136, A405-A411. 13.Verlet, L. Computer “Experiments” on classical fluids I. Thermodynamical Properties of Lennard-Jones Molecules. Physical Review 1967, 159, 98-103. 14.Gong, J.; Zhou, C.; Guo, R.; Chai, Z.; Meng, Y.; Wang, T. Study on the effect of nano-pores on FeO fracture in polycrystalline FeO/Fe based on molecular dynamics. Journal of Atomic and Molecular Physics 2025, 42(5), 81-89. 15.Liu, Y.; Yang, Y.; Zhang, J. Application of Molecular Dynamics Simulation Methods in Protease Research. China Cleaning Industry 2024, 08, 34-41. 16.Wang, T. AI-accelerated ab initio molecular dynamics simulations of proteins. Nature 2024, 628(7993), 344-350. 17.Kenneth, M. Computer Simulation of Enzymatic Reactions. Current Opinion in Structural Biology 1993, 3, 234-240. 18.Golkarian, A.R.; Jabbarzadeh, M.; Imam, A.; Etemadi, H. S. Graphene nanoplates bending under multipart asymmetric conditions based on 3D elasticity and new modified couple stress theories: comparison with the molecular mechanics method. Acta Mechanica 2025, 236(3), 2035-2063. 19.Research Collaboratory for Structural Bioinformatics (RCSB). Available online: https://www.rcsb.org/search (accessed on 10 November 2025). 20. Golkarian, A.R.; Jabbarzadeh, M.; Imam, A.; Etemadi Haghighi, S. Graphene nanoplates bending under multipart asymmetric conditions based on 3D elasticity and new modified couple stress theories: comparison with the molecular mechanics method. Acta Mechanica 2025, 236, 2035-2063. 21. Brooks, B.R.; Brooks III, C.L.; MacKerell Jr., A.D.; Nilsson, L.; Petrella, R.J.; Roux, B.; Won, Y.; Archontis, G.; Bartels, C.; Boresch, S.; Caflisch, A.; Caves, L.; Cui, Q.; Dinner, A.R.; Feig, M.; Fischer, S.; Gao, J.; Hodoscek, M.; Im, W.; Kuczera, K.; Lazaridis, T.; Ma, J.; Ovchinnikov, V.; Paci, E.; Pastor, R.W.; Post, C.B.; Pu, J.Z.; Schaefer, M.; Tidor, B.; Venable, R.M.; Woodcock, H.L.; Wu, X.; Yang, W.; York, D.M.; Karplus, M. CHARMM: The biomolecular simulation program. Journal of Computational Chemistry 2009, 30, 1545-1614. 22.Hwang, W.; Austin, S.L.; Blondel, A.; Boittier, E.D.; Boresch, S.; Buck, M.; Buckner, J.; Caflisch, A.; Chang, H.-T.; Cheng, X.; Choi, Y.K.; Chu, J.-W.; Crowley, M.F.; Cui, Q.; Damjanovic, A.; Deng, Y.; Devereux, M.; Ding, X.; Feig, M.; Gao, J.; Glowacki, D.R.; Gonzales, J.E.; Hamaneh, M.B.; Harder, E.D.; Hayes, R.L.; Huang, J.; Huang, Y.; Hudson, P.S.; Im, W.; Islam, S.M.; Jiang, W.; Jones, M.R.; Käser, S.; Kearns, F.L.; Kern, N.R.; Klauda, J.B.; Lazaridis, T.; Lee, J.; Lemkul, J.A.; Liu, X.; Luo, Y.; MacKerell Jr., A.D.; Major, D.T.; Meuwly, M.; Nam, K.; Nilsson, L.; Ovchinnikov, V.; Paci, E.; Park, S.; Pastor, R.W.; Pittman, A.R.; Post, C.B.; Prasad, S.; Pu, J.; Qi, Y.; Rathinavelan, T.; Roe, D.R.; Roux, B.; Rowley, C.N.; Shen, J.; Simmonett, A.C.; Sodt, A.J.; Töpfer, K.; Upadhyay, M.; van der Vaart, A.; Vazquez-Salazar, L.I.; Venable, R.M.; Warrensford, L.C.; Woodcock, H.L.; Wu, Y.; Brooks III, C.L.; Brooks, B.R.; Karplus, M. CHARMM at 45: Enhancements in Accessibility, Functionality, and Speed. The Journal of Physical Chemistry B 2024, 128, 9976-10042. 23.MacKerell Jr., A.D.; Bashford, D.; Bellott, M.; Dunbrack Jr., R.L.; Evanseck, J.D.; Field, M.J.; Fischer, S.; Gao, J.; Guo, H.; Ha, S.; Joseph-McCarthy, D.; Kuchnir, L.; Kuczera, K.; Lau, F.T.K.; Mattos, C.; Michnick, S.; Ngo, T.; Nguyen, D.T.; Prodhom, B.; Reiher, W.E.; Roux, B.; Schlenkrich, M.; Smith, J.C.; Stote, R.; Straub, J.; Watanabe, M.; Wiórkiewicz-Kuczera, J.; Yin, D.; Karplus, M. All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins. The Journal of Physical Chemistry B 1998, 102, 3586-3616. 24.Huang, J.; Rauscher, S.; Nawrocki, G.; Ran, T.; Feig, M.; de Groot, B.L.; Grubmüller, H.; MacKerell Jr., A.D. CHARMM36m: An Improved Force Field for Folded and Intrinsically Disordered Proteins. Nature Methods 2017, 14, 71-73. 25.Klauda, J.B.; Venable, R.M.; Freites, J.A.; O'Connor, J.W.; Tobias, D.J.; Mondragon-Ramirez, C.; Vorobyov, I.; MacKerell Jr., A.D.; Pastor, R.W. Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types. The Journal of Physical Chemistry B 2010, 114, 7830-7843. 26. Guvench, O.; Mallajosyula, S.S.; Raman, E.P.; Hatcher, E.; Vanommeslaeghe, K.; Foster, T.J.; Jamison, F.W.; MacKerell Jr., A.D. CHARMM Additive All-Atom Force Field for Carbohydrate Derivatives and Its Utility in Polysaccharide and Carbohydrate-Protein Modeling. Journal of Chemical Theory and Computation 2011, 7, 3162-3180. 27.Vanommeslaeghe, K.; Hatcher, E.; Acharya, C.; Kundu, S.; Zhong, S.; Shim, J.; Darian, E.; Guvench, O.; Lopes, P.; Vorobyov, I.; MacKerell Jr., A.D. CHARMM General Force Field: A Force Field for Drug-like Molecules Compatible with the CHARMM All-Atom Additive Biological Force Fields. Journal of Computational Chemistry 2010, 31, 671-690. 28.Maiorov, V.N.; Crippen, G.M. Significance of root-mean-square deviation in comparing three-dimensional structures of globular proteins. Journal of Molecular Biology 1994, 235, 625-634.
长江文库INTERNATIONALHKAPACBR维普HK Asia-Pacific珠海市明日星科技
中国科学与工程 ©2025 已获得 CC BY 4.0 许可