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Part of the book series: NATO ASI Series ((NSSA,volume 225))

Abstract

Properties of two different methods for calculating three-dimensional structures of macromolecules from nuclear magnetic resonance data, distance geometry, and simulated annealing, are studied. It is shown that a simulated annealing refinement of structures generated with distance geometry is sufficient to remove bias introduced in the distance geometry stage. A new efficient simulated annealing protocol which does not require initial structures from distance geometry is presented. The influence of distance selection on quality and distribution of structures generated with distance geometry is studied.

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References

  1. A. T. BrĂ¼nger, G. M. Clore, A. Gronenborn, and M. Karplus, (1987), Protein Eng. 1, 399–406 (1987).

    Article  PubMed  Google Scholar 

  2. W. J. Metzler, D. R. Hare, and A. Pardi, Biochemistry 28, 7045–052 (1989).

    Article  PubMed  CAS  Google Scholar 

  3. R. M. Levi, D. A. Bassolino, D. B. Kitchen, and A. Pardi, Biochemistry 28, 9361–9372 (1989).

    Article  Google Scholar 

  4. M. Nilges, G. M. Clore, and A. M. Gronenborn, FEBS Lett. 229, 317–324 (1988).

    Article  PubMed  CAS  Google Scholar 

  5. M. Nilges., A. M. Gronenborn, A. T. BrĂ¼nger, and G. M. Clore, Protein Eng. 2, 27–38 (1988).

    Article  PubMed  CAS  Google Scholar 

  6. M. Nilges, G. M. Clore, and A. M. Gronenborn, FEBS Lett. 239, 129–136 (1988).

    Article  PubMed  CAS  Google Scholar 

  7. W. Nerdal, D. R. Hare, and B. R. Reed, J. Mol. Biol. 201, 717–739 (1988).

    Article  PubMed  CAS  Google Scholar 

  8. A. T. BrĂ¼nger X-Plor version 2.1, User Manual, Yale University (1990).

    Google Scholar 

  9. A. Pardi, D. R. Hare, M. E. Selsted, R. D. Morrison, D. A. Bassolino, and A. C. Bach, J. Mol. Biol. 201, 625–636 (1988).

    Article  PubMed  CAS  Google Scholar 

  10. T. F. Havel and K. WĂ¼thrich, Bull. Math. Biol. 46, 673–698 (1984).

    CAS  Google Scholar 

  11. T. F. Havel, Biopolymers 29, 1565–1585 (1990).

    Article  PubMed  CAS  Google Scholar 

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© 1991 Springer Science+Business Media New York

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Nilges, M., Kuszewski, J., BrĂ¼nger, A.T. (1991). Sampling Properties of Simulated Annealing and Distance Geometry. In: Hoch, J.C., Poulsen, F.M., Redfield, C. (eds) Computational Aspects of the Study of Biological Macromolecules by Nuclear Magnetic Resonance Spectroscopy. NATO ASI Series, vol 225. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9794-7_37

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  • DOI: https://doi.org/10.1007/978-1-4757-9794-7_37

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-9796-1

  • Online ISBN: 978-1-4757-9794-7

  • eBook Packages: Springer Book Archive

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