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Protein folding in the hydrophobic-hydrophilic (HP) is NP-complete
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Source Annual Conference on Research in Computational Molecular Biology archive
Proceedings of the second annual international conference on Computational molecular biology table of contents
New York, New York, United States
Pages: 30 - 39  
Year of Publication: 1998
ISBN:0-89791-976-9
Authors
Bonnie Berger  2-389, Mathematics Dept. and Lab. for Computer Science, MIT, Cambridge, MA
Tom Leighton  2-377, Mathematics Dept. and Lab. for Computer Science, MIT, Cambridge, MA
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 117,   Citation Count: 8
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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P~ AgarwMa, S. Bstzoglou, V. Dan~, S. Decatur, M. Fa~ach, S. }:{asmenh~li, S. SMena, and S. Muth~hnan. Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model J. Computational BioL, 4(3):275-296, Fail 1997.
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B. Berger and T. Leighton. Protein folding in the hyd~ophobic-hydropMlic (HP) model is NP- complete. J. Computational BioL, Spiing 1998. In press.
 
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J. D. Bryngelson, J. N. Onuchic, N. D. Socci, and P. G. Wolynes. F,,nnels, pathways, and the energy landscape of protein folding: a synthesis. PROTEINS: Structure, Function, and Genetics, 21:167-195, 1995.
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K. Dill, S. Bromberg, K. Yue, K. Fiebig, D. Yee, P. Thomas, and H. Chan. Pl:mdples of protein folding: A perspective from simple exact models. Protein Science, 4:561-602, 1995.
 
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A. Fraenkel. Deexponentializing complex computational mathematical problems using physical or biological systems. Technical Report CS90-30, Weizmann Inst. of Science, Dept. of Applied Math and Computer Science, 1990.
 
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A. Fraenkel. Complexity of protein folding. Bull. Math BioL, 55:1199-1210, 1993.
 
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A. $. Fraenkel. Protein folding, spin glass and computational complexity. In Third Annual DIMACS Workshop on DNA Based Computers, Philadelphia, PA, June 1997. To appear in proceedings as an invited paper.
 
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W. Hart and S. Istrail. Fast protein folding in the hydrophobic-hydrophilic model within three-eighths of optimal. Y. Computational Biol., 3(1):53-96, Spring 1996.
 
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W. Hart and S. Isf, rail. Robust proofs of NP- hardness for protein folding: GenerM lattices and energy potentials. J. Computational Biol., 4(1):1- 22, Spring 1997.
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R. It. Lathrop. The protein threading problem with sequence amino acid interaction preferences is npcomplete. Protein Engineering, 7:1059-1068, 1994.
 
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J. Ngo and J. Marks. Computatinal complexity of a problem in molecular structure prediction. Protein Engineering, 5:313-321, 1992.
 
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J. Ngo, J. Marks, and M. Kaxplus. The Protein Folding Problem and Tertiary Structure Prediction, chapter Computational complexity, protein structure prediction, and the Levinthal paradox. Birkhanser, Basel, 1994. Edited by K.M. Merz and S.M. LeGrand.
 
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IL Unger and J. Moult. Finding the lowest free energy conformatoin of a protein is an np-hard prblem:proof and implications. Bull Math. BioL, 55:1183-1198, 1993.


Collaborative Colleagues:
Bonnie Berger: colleagues
Tom Leighton: colleagues