{"title":"蛋白质的差示扫描量热法和水中的齐姆-布拉格模型","authors":"","doi":"10.1016/j.abb.2024.110132","DOIUrl":null,"url":null,"abstract":"<div><p>Differential Scanning Calorimetry (DSC) is a regular and powerful tool to measure the specific heat profile of various materials. Hydrogen bonds play a crucial role in stabilizing the three-dimensional structure of proteins. Naturally, information about the strength of hydrogen bonds is contained in the measured DSC profiles. Despite its obvious importance, there is no approach that would allow the extraction of such information from the heat capacity measurements. In order to connect the measured profile to microscopic properties of a polypeptide chain, a proper model is required to fit. Using recent advances in the Zimm–Bragg (ZB) theory of protein folding in water, we propose a new and efficient algorithm to process the DSC experimental data and to extract the H-bonding energy among other relevant constants. Thus, for the randomly picked set of 33 proteins, we have found a quite narrow distribution of hydrogen bonding energies from 1 to 8 kJ/mol with the average energy of intra-protein hydrogen bonds <span><math><mrow><mover><mrow><mi>h</mi></mrow><mo>¯</mo></mover><mo>=</mo><mn>4</mn><mo>.</mo><mn>2</mn><mo>±</mo><mn>1</mn><mo>.</mo><mn>5</mn><mspace></mspace></mrow></math></span> kJ/mol and the average energy of water–protein bonds as <span><math><mrow><mover><mrow><msub><mrow><mi>h</mi></mrow><mrow><mi>p</mi><mi>s</mi></mrow></msub></mrow><mo>¯</mo></mover><mo>=</mo><mn>3</mn><mo>.</mo><mn>8</mn><mo>±</mo><mn>1</mn><mo>.</mo><mn>5</mn><mspace></mspace></mrow></math></span> kJ/mol. This is an important illustration of a tiny disbalance between the water–protein and intraprotein hydrogen bonds. Fitted values of the nucleation parameter <span><math><mi>σ</mi></math></span> belong to the range from 0.001 to 0.01, as expected. The reported method can be considered as complementary to the classical two-state approach and together with other parameters provides the protein–water and intraprotein H-bonding energies, not accessible within the two-state paradigm.</p></div>","PeriodicalId":8174,"journal":{"name":"Archives of biochemistry and biophysics","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0003986124002546/pdfft?md5=c18638a73206494f868d828c2328dfd0&pid=1-s2.0-S0003986124002546-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Differential scanning calorimetry of proteins and Zimm–Bragg model in water\",\"authors\":\"\",\"doi\":\"10.1016/j.abb.2024.110132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Differential Scanning Calorimetry (DSC) is a regular and powerful tool to measure the specific heat profile of various materials. Hydrogen bonds play a crucial role in stabilizing the three-dimensional structure of proteins. Naturally, information about the strength of hydrogen bonds is contained in the measured DSC profiles. Despite its obvious importance, there is no approach that would allow the extraction of such information from the heat capacity measurements. In order to connect the measured profile to microscopic properties of a polypeptide chain, a proper model is required to fit. Using recent advances in the Zimm–Bragg (ZB) theory of protein folding in water, we propose a new and efficient algorithm to process the DSC experimental data and to extract the H-bonding energy among other relevant constants. Thus, for the randomly picked set of 33 proteins, we have found a quite narrow distribution of hydrogen bonding energies from 1 to 8 kJ/mol with the average energy of intra-protein hydrogen bonds <span><math><mrow><mover><mrow><mi>h</mi></mrow><mo>¯</mo></mover><mo>=</mo><mn>4</mn><mo>.</mo><mn>2</mn><mo>±</mo><mn>1</mn><mo>.</mo><mn>5</mn><mspace></mspace></mrow></math></span> kJ/mol and the average energy of water–protein bonds as <span><math><mrow><mover><mrow><msub><mrow><mi>h</mi></mrow><mrow><mi>p</mi><mi>s</mi></mrow></msub></mrow><mo>¯</mo></mover><mo>=</mo><mn>3</mn><mo>.</mo><mn>8</mn><mo>±</mo><mn>1</mn><mo>.</mo><mn>5</mn><mspace></mspace></mrow></math></span> kJ/mol. This is an important illustration of a tiny disbalance between the water–protein and intraprotein hydrogen bonds. Fitted values of the nucleation parameter <span><math><mi>σ</mi></math></span> belong to the range from 0.001 to 0.01, as expected. The reported method can be considered as complementary to the classical two-state approach and together with other parameters provides the protein–water and intraprotein H-bonding energies, not accessible within the two-state paradigm.</p></div>\",\"PeriodicalId\":8174,\"journal\":{\"name\":\"Archives of biochemistry and biophysics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0003986124002546/pdfft?md5=c18638a73206494f868d828c2328dfd0&pid=1-s2.0-S0003986124002546-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of biochemistry and biophysics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0003986124002546\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of biochemistry and biophysics","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003986124002546","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Differential scanning calorimetry of proteins and Zimm–Bragg model in water
Differential Scanning Calorimetry (DSC) is a regular and powerful tool to measure the specific heat profile of various materials. Hydrogen bonds play a crucial role in stabilizing the three-dimensional structure of proteins. Naturally, information about the strength of hydrogen bonds is contained in the measured DSC profiles. Despite its obvious importance, there is no approach that would allow the extraction of such information from the heat capacity measurements. In order to connect the measured profile to microscopic properties of a polypeptide chain, a proper model is required to fit. Using recent advances in the Zimm–Bragg (ZB) theory of protein folding in water, we propose a new and efficient algorithm to process the DSC experimental data and to extract the H-bonding energy among other relevant constants. Thus, for the randomly picked set of 33 proteins, we have found a quite narrow distribution of hydrogen bonding energies from 1 to 8 kJ/mol with the average energy of intra-protein hydrogen bonds kJ/mol and the average energy of water–protein bonds as kJ/mol. This is an important illustration of a tiny disbalance between the water–protein and intraprotein hydrogen bonds. Fitted values of the nucleation parameter belong to the range from 0.001 to 0.01, as expected. The reported method can be considered as complementary to the classical two-state approach and together with other parameters provides the protein–water and intraprotein H-bonding energies, not accessible within the two-state paradigm.
期刊介绍:
Archives of Biochemistry and Biophysics publishes quality original articles and reviews in the developing areas of biochemistry and biophysics.
Research Areas Include:
• Enzyme and protein structure, function, regulation. Folding, turnover, and post-translational processing
• Biological oxidations, free radical reactions, redox signaling, oxygenases, P450 reactions
• Signal transduction, receptors, membrane transport, intracellular signals. Cellular and integrated metabolism.