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  • Articles: DFG German National Licenses  (2)
  • enthalpy  (1)
  • folding and binding  (1)
  • 1
    Electronic Resource
    Electronic Resource
    New York, NY : Wiley-Blackwell
    Proteins: Structure, Function, and Genetics 26 (1996), S. 123-133 
    ISSN: 0887-3585
    Keywords: enthalpy ; thermodynamics ; folding/unfolding ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Medicine
    Notes: Two effects are mainly responsible for the observed enthalpy change in protein unfolding: the disruption of internal interactions within the protein molecule (van der Waals, hydrogen bonds, etc.) and the hydration of the groups that are buried in the native state and become exposed to the solvent on unfolding. In the traditional thermodynamic analysis, the effects of hydration have usually been evaluated using the thermodynamic data for the transfer of small model compounds from the gas phase to water. The contribution of internal interactions, on the other hand, are usually estimated by subtracting the hydration effects from the experimental enthalpy of unfolding. The main drawback of this approach is that the enthalpic contributions of hydration, and those due to the disruption of internal interactions, are more than one order of magnitude larger than the experimental enthalpy value. The enthalpy contributions of hydration and disruption of internal interactions have opposite signs and cancel each other almost completely resulting in a final value that is over 10 times smaller than the individual terms. For this reason, the classical approach cannot be used to accurately predict unfolding enthalpies from structure: any error in the estimation of the hydration enthalpy will be amplified by a factor of 10 or more in the estimation of the unfolding enthalpy. Recently, it has been shown that simple parametric equations that relate the enthalpy change with certain structural parameters, especially changes in solvent accessible surface areas have considerable predictive power. In this paper, we provide a physical foundation to that parametrization and in the process we present a system of equations that explicitly includes the enthalpic effects of the packing density between the different atoms within the protein molecule. Using this approach, the error in the prediction of folding/unfolding enthalpies at 60°C, the median temperature for thermal unfolding, is better than ±3% (standard deviation = 4 kcal/mol). © 1996 Wiley-Liss, Inc.
    Additional Material: 5 Ill.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    New York, NY : Wiley-Blackwell
    Proteins: Structure, Function, and Genetics 30 (1998), S. 74-85 
    ISSN: 0887-3585
    Keywords: folding and binding ; kinetics ; pepstatin A ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Medicine
    Notes: The prediction of binding affinities from structure is a necessary requirement in the development of structure-based molecular design strategies. In this paper, a structural parameterization of the energetics previously developed in this laboratory has been incorporated into a molecular design algorithm aimed at identifying peptide conformations that minimize the Gibbs energy. This approach has been employed in the design of mutants of the aspartic protease inhibitor pepstatin A. The simplest design strategy involves mutation and/or chain length modification of the wild-type peptide inhibitor. The structural parameterization allows evaluation of the contribution of different amino acids to the Gibbs energy in the wild-type structure, and therefore the identification of potential targets for mutation in the original peptide. The structure of the wild-type complex is used as a template to generate families of conformational structures in which specific residues have been mutated. The most probable conformations of the mutated peptides are identified by systematically rotating around the side-chain and backbone torsional angles and calculating the Gibbs potential function of each conformation according to the structural parametrization. The accuracy of this approach has been tested by chemically synthesizing two different mutants of pepstatin A. In one mutant, the alanine at position five has been replaced by a phenylalanine, and in the second one a glutamate has been added at the carboxy terminus of pepstatin A. The thermodynamics of association of pepstatin A and the two mutants have been measured experimentally and the results compared with the predictions. The difference between experimental and predicted Gibbs energies for pepstatin A and the two mutants is 0.23 ± 0.06 kcal/mol. The excellent agreement between experimental and predicted values demonstrates that this approach can be used in the optimization of peptide ligands. Proteins 30:74-85, 1998. © 1998 Wiley-Liss, Inc.
    Additional Material: 7 Ill.
    Type of Medium: Electronic Resource
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