Identifying the most significant pairwise correlations of residues in different positions of helices

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Identifying the most significant pairwise correlations of residues in different positions of helices: the subset selection problem using least squares optimization

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Symposium on Applied Computing archive
Proceedings of the 2001 ACM symposium on Applied computing table of contents

Las Vegas, Nevada, United States

Pages: 51 - 55

Year of Publication: 2001

ISBN:1-58113-287-5

Authors

Xianghong Zhou	Department of Computer Science and Department of Applied Biosciences, ETH, Zurich, Switzerland
Gareth Chelvanayagam	Department of Computer Science, University of Western, Australia
Michael Hallett	McGill Centre for, Bioinformatics, McGill, University, Montreal, Canada

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 7, Citation Count: 0

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references index terms collaborative colleagues peer to peer

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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.

	1	Aurora, R., Srinivasan, R., Rose, G. D. (1994) Rules for ~-helix termination by glycine. Science. 264:1126-30.
	2	Bernstein, F. C., Koetzle, T. F., Williams, G. J., Meyer, E. E. Jr., Brice, M. D., Rodgers, J. R., Kennard, O., Shimanouchi, T., Tasumi, M. (1977) The Protein Data Bank: a computer-based archival file for macromolecular structures. J Mol Biol. 112:535-42.
	3	Dasgupta, S. and Bell, J. A. (1993) Design of helix ends. Amino acid preferences, hydrogen bonding and electrostatic interactions. Int J Pept Protein Res. 41:499-511.
	4	Davies, S. and Russell, S. (1994) NP-completeness of searches for smallest possible feature sets. Proc. 1994 AAAI Fall Symp. Relevance.1994, pp.37-39., AAAI Press.
	5	George E. Forsythe , Michael A. Malcolm , Cleve B. Moler, Computer Methods for Mathematical Computations, Prentice Hall Professional Technical Reference, 1977
	6	Harper, E. T. and Rose, G. D. (1993) Helix stop signals in proteins and peptides: the capping box. Biochemistry. 32:7605-9.
	7	Hobohm, U., Scharf, M., Schneider, R., and Sander, C. (1992) Selection of representative protein data sets. Protein sci., 1, 409-417.
	8	Judd, C. M., McClelland, G. H. (1989) Data analysis: A mode comparison approach. Harcourt Brace Jovanovich press, New York.
	9	Kumar, S., Bansal, M. (1998) Dissecting ~-helices: position-specific analysis of ~-helices in globular proteins. Proteins. 31:460-76.
	10	Miller, A. J. (1990) Subset selection in regression. Chapman and Hall press, London.
	11	Munoz, V., Blanco, F. J., Serrano, L. (1995) The hydrophobic-staple motif and a role for loop-residues in ~-helix stability and protein folding. Nat Struct Biol. 2:380-5.
	12	Schellman, C. (1980) in Protein Folding ed. Jaenicke, R., pp. 53-61, Elsevier/North-Holland, Amsterdam.
	13	Seale, J. W., Srinivasan, R., Rose, G. D. (1994) Sequence determinants of the capping box, a stabilizing motif at the N-termini of ~-helices. Protein Sci. 3:1741-5.
	14	Hui Wang , David Bell , Fionn Murtagh, Axiomatic Approach to Feature Subset Selection Based on Relevance, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.21 n.3, p.271-277, March 1999 [doi>10.1109/34.754624]

INDEX TERMS

Primary Classification:
G. Mathematics of Computing
G.1 NUMERICAL ANALYSIS
G.1.6 Optimization
Subjects: Least squares methods

Additional Classification:
J. Computer Applications
J.3 LIFE AND MEDICAL SCIENCES
Subjects: Biology and genetics

General Terms:
Design, Human Factors, Measurement, Performance, Theory

Keywords:
alpha-helix, least squares, subset selection

Collaborative Colleagues:

Xianghong Zhou: colleagues

Gareth Chelvanayagam: colleagues

Michael Hallett: colleagues

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