Skip to main content

Adaptive Simulated Annealing and its Application to Protein Folding

ASA

  • Reference work entry
Book cover Encyclopedia of Optimization
  • 90 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,699.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gay, D.M.: ‘Subroutines for unconstrained minimization using a model/trust-region approach’, ACM Trans. Math. Software9 (1983), 503.

    MathSciNet  MATH  Google Scholar 

  2. Hansmann, U.H.E.: ‘Generalized ensembles: A new way of simulating proteins’, Phys. A254 (1998), 15.

    Google Scholar 

  3. Ingber, L.: ‘Very fast simulated re-annealing’, Math. Comput. Modelling12 (1989), 967 ASA code is available from: ftp.alumni.caltech.edu:pub/ingber.

    MathSciNet  MATH  Google Scholar 

  4. Ingber, L., and Rosen, B.: ‘Genetic algorithm and very fast simulated re-annealing: A comparison’, Math. Comput. Modelling16 (1992), 87.

    MathSciNet  MATH  Google Scholar 

  5. Jin, A.Y., Leung, F.Y., and Weaver, D.F.: ‘Development of a novel genetic algorithm search method (GAP1.0) for exploring peptide conformational space’, J. Comput. Chem.18 (1997), 1971.

    Google Scholar 

  6. Kirkpatrick, S., Gelatt, C.D., and Vecchi Jr., M.P.: ‘Optimization by simulated annealing’, Science220 (1983), 671.

    MathSciNet  Google Scholar 

  7. Lee, J., Scheraga, H.A., and Rackovsky, S.: ‘New optimization method for conformational energy calculations on polypeptides: conformational space annealing’, J. Comput. Chem.18 (1997), 222.

    Google Scholar 

  8. Li, Z., and Scheraga, H.A.: ‘Monte Carlo-minimization approach to the multiminima problem in protein folding’, Proc. Nat. Aca. Sci. USA84 (1987), 6611.

    MathSciNet  Google Scholar 

  9. Li, Z., and Scheraga, H.A.: ‘Structure and free energy of complex thermodynamic systems’, J. Mol. Struct. (Theochem)179 (1988), 333.

    Google Scholar 

  10. Merkle, L.D., Lamont, G.B., Gates, G.H., and Pachter, R.: ‘Hybrid genetic algorithms for minimization of polypeptide specific energy model’, Proc. IEEE Internat. Conf. Evolutionary Computation, May, 1996 p. 192.

    Google Scholar 

  11. Nayeem, A., Vila, J., and Scheraga, H.A.: ‘A comparative study of the simulated-annealing and Monte Carlo-with minimization approaches to the minimum-energy structures of polypeptides: Met-Enkephalin’, J. Comput. Chem.12 (1991), 594.

    Google Scholar 

  12. Okamoto, Y., Kikuchi, T., and Kawai, H.: ‘Prediction of low-energy structure of Met-Enkephalin by Monte Carlo simulated annealing’, Chem. Lett. (Chem. Soc. Japan) (1992), 1275.

    Google Scholar 

  13. Piela, L., and Scheraga, H.A.: ‘On the multiple-minima problem in the conformational analysis of polypeptides: I. backbone degrees of freedom for a perturbed α-helix’, Biopolymers26 (1987), S33.

    Google Scholar 

  14. Vasquez, M.: Private communication (1999).

    Google Scholar 

  15. Wang, Z., and Pachter, R.: ‘Prediction of polypeptide conformation by the adaptive simulated annealing approach’, J. Comput. Chem.18 (1997), 323.

    Google Scholar 

  16. Wilson, S.R., and Cui, W.: ‘Applications of simulated annealing to peptides’, Biopolymers29 (1990), 225.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Kluwer Academic Publishers

About this entry

Cite this entry

Pachter, R., Wang, Z. (2001). Adaptive Simulated Annealing and its Application to Protein Folding . In: Floudas, C.A., Pardalos, P.M. (eds) Encyclopedia of Optimization. Springer, Boston, MA. https://doi.org/10.1007/0-306-48332-7_5

Download citation

  • DOI: https://doi.org/10.1007/0-306-48332-7_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-6932-5

  • Online ISBN: 978-0-306-48332-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics