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Solvent Binding Analysis and Computational Alanine Scanning of the Bovine Chymosin–Bovine κ-Casein Complex Using Molecular Integral Equation Theory
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    Solvent Binding Analysis and Computational Alanine Scanning of the Bovine Chymosin–Bovine κ-Casein Complex Using Molecular Integral Equation Theory
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    Department of Physics, University of Strathclyde, John Anderson Building, 107 Rottenrow, Glasgow, Scotland G4 0NG, United Kingdom
    Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, DE-04103 Leipzig, Germany
    § Department of Chemistry and Biochemistry, University of California, San Diego, Urey Hall, 9500 Gilman Drive, La Jolla, California 92093, United States
    The Center for Insoluble Protein Structures (inSPIN) and the Interdisciplinary Nanoscience Center (iNANO), Department of Chemistry, Aarhus University, Langelandsgade 140, DK-8000 Aarhus C, Denmark
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    Journal of Chemical Theory and Computation

    Cite this: J. Chem. Theory Comput. 2013, 9, 12, 5706–5717
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    https://doi.org/10.1021/ct400605x
    Published October 9, 2013
    Copyright © 2013 American Chemical Society

    Abstract

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    We demonstrate that the relative binding thermodynamics of single-point mutants of a model protein–peptide complex (the bovine chymosin–bovine κ-casein complex) can be calculated accurately and efficiently using molecular integral equation theory. The results are shown to be in good overall agreement with those obtained using implicit continuum solvation models. Unlike the implicit continuum models, however, molecular integral equation theory provides useful information about the distribution of solvent density. We find that experimentally observed water-binding sites on the surface of bovine chymosin can be identified quickly and accurately from the density distribution functions computed by molecular integral equation theory. The bovine chymosin–bovine κ-casein complex is of industrial interest because bovine chymosin is widely used to cleave bovine κ-casein and to initiate milk clotting in the manufacturing of processed dairy products. The results are interpreted in light of the recent discovery that camel chymosin is a more efficient clotting agent than bovine chymosin for bovine milk.

    Copyright © 2013 American Chemical Society

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    Supporting Information

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    The complete data sets including all calculated data, correlation plots of hydration free energies, and illustration of the change in local solvation density for 16 single-point mutants. This material is available free of charge via the Internet at http://pubs.acs.org.

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    This article is cited by 11 publications.

    1. Samiul M. Ansari, Andrea Coletta, Katrine Kirkeby Skeby, Jesper Sørensen, Birgit Schiøtt, and David S. Palmer . Allosteric-Activation Mechanism of Bovine Chymosin Revealed by Bias-Exchange Metadynamics and Molecular Dynamics Simulations. The Journal of Physical Chemistry B 2016, 120 (40) , 10453-10462. https://doi.org/10.1021/acs.jpcb.6b07491
    2. David S. Palmer, Maksim Mišin, Maxim V. Fedorov, and Antonio Llinas . Fast and General Method To Predict the Physicochemical Properties of Druglike Molecules Using the Integral Equation Theory of Molecular Liquids. Molecular Pharmaceutics 2015, 12 (9) , 3420-3432. https://doi.org/10.1021/acs.molpharmaceut.5b00441
    3. Ekaterina L. Ratkova, David S. Palmer, and Maxim V. Fedorov . Solvation Thermodynamics of Organic Molecules by the Molecular Integral Equation Theory: Approaching Chemical Accuracy. Chemical Reviews 2015, 115 (13) , 6312-6356. https://doi.org/10.1021/cr5000283
    4. Natalia Díaz and Dimas Suárez . Extensive Simulations of the Full-Length Matrix Metalloproteinase-2 Enzyme in a Prereactive Complex with a Collagen Triple-Helical Peptide. Biochemistry 2015, 54 (5) , 1243-1258. https://doi.org/10.1021/bi501014w
    5. Norio Yoshida. Self-Consistent Treatment of Solvation Structure with Electronic Structure Based on 3D-RISM Theory. 2021, 487-508. https://doi.org/10.1007/978-981-15-9235-5_24
    6. Samiul M. Ansari, Jesper Sørensen, Birgit Schiøtt, David S. Palmer. On the effect of mutations in bovine or camel chymosin on the thermodynamics of binding κ‐caseins. Proteins: Structure, Function, and Bioinformatics 2018, 86 (1) , 75-87. https://doi.org/10.1002/prot.25410
    7. Tomohiko Hayashi, Hiraku Oshima, Yuichi Harano, Masahiro Kinoshita. Water based on a molecular model behaves like a hard-sphere solvent for a nonpolar solute when the reference interaction site model and related theories are employed. Journal of Physics: Condensed Matter 2016, 28 (34) , 344003. https://doi.org/10.1088/0953-8984/28/34/344003
    8. Maksim Misin, Maxim V. Fedorov, David S. Palmer. Communication: Accurate hydration free energies at a wide range of temperatures from 3D-RISM. The Journal of Chemical Physics 2015, 142 (9) https://doi.org/10.1063/1.4914315
    9. Jesper Sørensen, Marcia O. Fenley, Rommie E. Amaro. A Comprehensive Exploration of Physical and Numerical Parameters in the Poisson–Boltzmann Equation for Applications to Receptor–Ligand Binding. 2015, 39-71. https://doi.org/10.1007/978-3-319-12211-3_3
    10. Tomoka Furukawa-Hagiya, Norio Yoshida, Shuntaro Chiba, Tomohiko Hayashi, Tadaomi Furuta, Yoshiro Sohma, Minoru Sakurai. Water-mediated forces between the nucleotide binding domains generate the power stroke in an ABC transporter. Chemical Physics Letters 2014, 616-617 , 165-170. https://doi.org/10.1016/j.cplett.2014.10.038
    11. Norio Yoshida. Efficient implementation of the three-dimensional reference interaction site model method in the fragment molecular orbital method. The Journal of Chemical Physics 2014, 140 (21) https://doi.org/10.1063/1.4879795

    Journal of Chemical Theory and Computation

    Cite this: J. Chem. Theory Comput. 2013, 9, 12, 5706–5717
    Click to copy citationCitation copied!
    https://doi.org/10.1021/ct400605x
    Published October 9, 2013
    Copyright © 2013 American Chemical Society

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