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A constraint logic programming approach to 3D structure determination of large protein complexes
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Source Symposium on Applied Computing archive
Proceedings of the 2006 ACM symposium on Applied computing table of contents
Dijon, France
SESSION: Bioinformatics (BIO) table of contents
Pages: 131 - 136  
Year of Publication: 2006
ISBN:1-59593-108-2
Authors
A. Dal Palù  Univ. of Udine
E. Pontelli  New Mexico State Univ.
J. He  New Mexico State Univ.
Y. Lu  New Mexico State Univ.
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The paper describes a novel framework, constructed using constraint logic programming and parallelism, to determine the association between parts of the primary sequence of a protein and α-helices extracted from 3-dimensional low-resolution descriptions of large protein complexes. The association is determined by extracting constraints from the 3D information, regarding length, relative position, and connectivity of helices, and solving these constraints with the guidance of a secondary structure prediction algorithm. Parallelism is employed to enhance performance on large proteins. The framework provides a fast, inexpensive alternative to determine the exact tertiary structure of unknown proteins.


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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A. Dal Palu et al. A Constraint Logic Programming Approach to 3D Structure Determination of Large Protein Complexes. NMSU-CS-TR-05..., 2005.
 
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J. He, Y. Lu, E. Pontelli. A Parallel Algorithm for Helices Mapping between 3D and 1D Protein Structure Using the Length Constraints. In ISPA, Springer Verlag, 2004.
 
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Collaborative Colleagues:
A. Dal Palù: colleagues
E. Pontelli: colleagues
J. He: colleagues
Y. Lu: colleagues