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Journal Abstract Search
148 related items for PubMed ID: 9697213
1. Application of a novel and fast information-theoretic method to the discovery of higher-order correlations in protein databases. Steeg EW, Pham H. Pac Symp Biocomput; 1998; ():573-84. PubMed ID: 9697213 [Abstract] [Full Text] [Related]
2. DINAMO: a coupled sequence alignment editor/molecular graphics tool for interactive homology modeling of proteins. Hansen M, Bentz J, Baucom A, Gregoret L. Pac Symp Biocomput; 1998; ():106-17. PubMed ID: 9697175 [Abstract] [Full Text] [Related]
4. HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins. Bystroff C, Thorsson V, Baker D. J Mol Biol; 2000 Aug 04; 301(1):173-90. PubMed ID: 10926500 [Abstract] [Full Text] [Related]
8. An approach to detection of protein structural motifs using an encoding scheme of backbone conformations. Matsuda H, Taniguchi F, Hashimoto A. Pac Symp Biocomput; 1997 Aug 04; ():280-91. PubMed ID: 9390299 [Abstract] [Full Text] [Related]
9. Within the twilight zone: a sensitive profile-profile comparison tool based on information theory. Yona G, Levitt M. J Mol Biol; 2002 Feb 01; 315(5):1257-75. PubMed ID: 11827492 [Abstract] [Full Text] [Related]
10. Using information theory to search for co-evolving residues in proteins. Martin LC, Gloor GB, Dunn SD, Wahl LM. Bioinformatics; 2005 Nov 15; 21(22):4116-24. PubMed ID: 16159918 [Abstract] [Full Text] [Related]
14. Recognition of human genes by stochastic parsing. Asai K, Itou K, Ueno Y, Yada T. Pac Symp Biocomput; 1998 Nov 15; ():228-39. PubMed ID: 9697185 [Abstract] [Full Text] [Related]
16. An MML classification of protein structure that knows about angles and sequence. Edgoose T, Allison L, Dowe DL. Pac Symp Biocomput; 1998 Nov 15; ():585-96. PubMed ID: 9697214 [Abstract] [Full Text] [Related]
18. Remote homolog detection using local sequence-structure correlations. Hou Y, Hsu W, Lee ML, Bystroff C. Proteins; 2004 Nov 15; 57(3):518-30. PubMed ID: 15382242 [Abstract] [Full Text] [Related]
20. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein. Raghava GP, Han JH. BMC Bioinformatics; 2005 Mar 17; 6():59. PubMed ID: 15773999 [Abstract] [Full Text] [Related] Page: [Next] [New Search]