{"title":"用统计力学方法研究蛋白质分子的折叠态和未折叠态之间的跃迁。","authors":"Gorkem Oylumluoglu","doi":"10.1016/j.biosystems.2025.105492","DOIUrl":null,"url":null,"abstract":"<div><div>A theoretical investigation is presented into the transition between the unfolded and folded states of protein molecules in aqueous environments using a statistical mechanical framework. The model constructs a canonical ensemble in which protein molecules are treated as electric dipoles interacting with an effective electrostatic field that simulates hydration effects. The canonical partition function is derived by integrating over dipole orientations and is analytically related to thermodynamic quantities such as free energy, internal energy, enthalpy, and heat capacity. To incorporate the influence of the chemical environment, the model extends to a grand canonical ensemble by introducing pH-dependent behavior through the concept of proton fugacity. The impact of pH on enthalpic stability is analyzed across multiple temperature conditions. All theoretical expressions are fitted to experimental calorimetric data reported for lysozyme within the pH range of 0–6. The results demonstrate that the folded state is thermodynamically favorable under acidic conditions, characterized by negative enthalpy changes and reduced heat capacity. In contrast, the unfolded state becomes dominant at higher pH levels. This approach successfully captures the enthalpic features of folding transitions and provides valuable insights into the cooperative effects of hydration on protein stability.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"254 ","pages":"Article 105492"},"PeriodicalIF":2.0000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of the transition between the unfolded and folded states of the protein molecules by using statistical mechanical methods\",\"authors\":\"Gorkem Oylumluoglu\",\"doi\":\"10.1016/j.biosystems.2025.105492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A theoretical investigation is presented into the transition between the unfolded and folded states of protein molecules in aqueous environments using a statistical mechanical framework. The model constructs a canonical ensemble in which protein molecules are treated as electric dipoles interacting with an effective electrostatic field that simulates hydration effects. The canonical partition function is derived by integrating over dipole orientations and is analytically related to thermodynamic quantities such as free energy, internal energy, enthalpy, and heat capacity. To incorporate the influence of the chemical environment, the model extends to a grand canonical ensemble by introducing pH-dependent behavior through the concept of proton fugacity. The impact of pH on enthalpic stability is analyzed across multiple temperature conditions. All theoretical expressions are fitted to experimental calorimetric data reported for lysozyme within the pH range of 0–6. The results demonstrate that the folded state is thermodynamically favorable under acidic conditions, characterized by negative enthalpy changes and reduced heat capacity. In contrast, the unfolded state becomes dominant at higher pH levels. This approach successfully captures the enthalpic features of folding transitions and provides valuable insights into the cooperative effects of hydration on protein stability.</div></div>\",\"PeriodicalId\":50730,\"journal\":{\"name\":\"Biosystems\",\"volume\":\"254 \",\"pages\":\"Article 105492\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosystems\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0303264725001029\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0303264725001029","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
Investigation of the transition between the unfolded and folded states of the protein molecules by using statistical mechanical methods
A theoretical investigation is presented into the transition between the unfolded and folded states of protein molecules in aqueous environments using a statistical mechanical framework. The model constructs a canonical ensemble in which protein molecules are treated as electric dipoles interacting with an effective electrostatic field that simulates hydration effects. The canonical partition function is derived by integrating over dipole orientations and is analytically related to thermodynamic quantities such as free energy, internal energy, enthalpy, and heat capacity. To incorporate the influence of the chemical environment, the model extends to a grand canonical ensemble by introducing pH-dependent behavior through the concept of proton fugacity. The impact of pH on enthalpic stability is analyzed across multiple temperature conditions. All theoretical expressions are fitted to experimental calorimetric data reported for lysozyme within the pH range of 0–6. The results demonstrate that the folded state is thermodynamically favorable under acidic conditions, characterized by negative enthalpy changes and reduced heat capacity. In contrast, the unfolded state becomes dominant at higher pH levels. This approach successfully captures the enthalpic features of folding transitions and provides valuable insights into the cooperative effects of hydration on protein stability.
期刊介绍:
BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.