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Boltzmann's principle, knowledge-based mean fields and protein folding. An approach to the computational determination of protein structures

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Summary

The data base of known protein structures contains a tremendous amount of information on protein-solvent systems. Boltzmann's principle enables the extraction of this information in the form of potentials of mean force. The resulting force field constitutes an energetic model for protein-solvent systems. We outline the basic physical principles of this approach to protein folding and summarize several techniques which are useful in the development of knowledge-based force fields. Among the applications presented are the validation of experimentally determined protein structures, data base searches which aim at the identification of native-like sequence structure pairs, sequence structure alignments and the calculation of protein conformations from amino acid sequences.

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Authors and Affiliations

  1. Center for Applied Molecular Engineering, Institute for Chemistry and Biochemistry, University of Salzburg, Jakob Haringer Straße 1, A-5020, Salzburg, Austria

    Manfred J. Sippl

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  1. Manfred J. Sippl
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Sippl, M.J. Boltzmann's principle, knowledge-based mean fields and protein folding. An approach to the computational determination of protein structures. J Computer-Aided Mol Des 7, 473–501 (1993). https://doi.org/10.1007/BF02337562

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  • DOI: https://doi.org/10.1007/BF02337562

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