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Tackling The Multiple-Minima Problem In Protein Folding By Monte Carlo Simulated Annealing And Generalized-Ensemble Algorithms

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  • YUKO OKAMOTO

    (Dept. of Theoretical Studies, Institute for Molecular Science, Dept. of Functional Molecular Science, The Graduate University for Advanced Studies, Okazaki, Aichi 444-8585, Japan)

Abstract

Monte Carlo simulations based on simulated annealing and multicanonical algorithm have been performed to predict the secondary and tertiary structures of oligopeptide systems. Two oligopeptides, C-peptide of ribonuclease A and the fragment BPTI(16-36) of bovine pancreatic trypsin inhibitor, were studied. Only the amino-acid sequence information was used as input and initial conformations were randomly generated. The lowest-energy conformations obtained haveα-helix structure andβ-sheet structure for C-peptide and BPTI(16-36), respectively, in remarkable agreement with experimental results.

Suggested Citation

  • Yuko Okamoto, 1999. "Tackling The Multiple-Minima Problem In Protein Folding By Monte Carlo Simulated Annealing And Generalized-Ensemble Algorithms," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 10(08), pages 1571-1582.
  • Handle: RePEc:wsi:ijmpcx:v:10:y:1999:i:08:n:s0129183199001352
    DOI: 10.1142/S0129183199001352
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