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Proteins, v.53 suppl.6, 2003년, pp.579 - 584
Xu, Jinbo (Department of Computer Science, University of Waterloo, Waterloo, Canada) , Li, Ming (Department of Computer Science, University of Waterloo, Waterloo, Canada)
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We have developed a new algorithm based on the mathematical theory of linear programming (LP) and implemented it in our program RAPTOR. Our new approach provides an elegant formulation of the protein-threading problem, overcomes the intractability problem of protein threading, in practice, and allow...
Protein Eng. Lathrop 7 1059 1994 10.1093/protein/7.9.1059
A guide to NP-completeness Garey 1979 A guide to NP-completeness. San Francisco: Freeman; 1979.
Xu 2003 Protein threading by linear programming. Biocomputing: proceedings of the 2003 Pacific Symposium. Hawaii, 2003; p 264-275.
J Bioinform Comput Biol Xu 1 95 2003 10.1142/S0219720003000186
Integer programming Wolsey 1998 Integer programming. New York: John Wiley & Son, Inc.; 1998.
Nature Jones 358 86 1992 10.1038/358086a0
J Mol Biol Godzik 227 227 1992 10.1016/0022-2836(92)90693-E
Proteins Bryant 26 172 1996 10.1002/(SICI)1097-0134(199610)26:2<172::AID-PROT7>3.0.CO;2-I
J Mol Biol Shi 310 243 2001 10.1006/jmbi.2001.4762
J Mol Biol Kelley 299 499 2000 10.1006/jmbi.2000.3741
J Mol Biol Jones 287 797 1999 10.1006/jmbi.1999.2583
J Comput Biol Xu 5 597 1998 10.1089/cmb.1998.5.597
Assessing the performance of fold recognition methods by means of a comprehensive benchmark. Biocomputing: proceedings of the 1996 Pacific Symposium Fischer 300 1996 Assessing the performance of fold recognition methods by means of a comprehensive benchmark. Biocomputing: proceedings of the 1996 Pacific Symposium. Singapore: World Scientific Publishing Co.; 1996. p 300-318.
Kim 2002 PROSPECT II: protein structure prediction method for genome-scale applications. 2002. Submitted for publication.
Science Gonnet 256 1443 1992 10.1126/science.1604319
ISMB Holm 5 140 1997
Protein Eng Alexandrov 9 727 1996 10.1093/protein/9.9.727
The nature of statistical learning theory Vapnik 1995 10.1007/978-1-4757-2440-0 The nature of statistical learning theory. New York: Springer; 1995.
J Mol Biol Lindahl 295 613 2000 10.1006/jmbi.1999.3377
Fischer 2002 http://www.cs.bgu.ac.il/?dfischer/CAFASP3/, December 2002.
Rychlewski 2002 http://www.bioinfo.pl/livebench/6, 2002.
Bioinformatics Siew 16 776 2000 10.1093/bioinformatics/16.9.776
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