Predicting reliable regions in protein sequence alignments

Bioinformatics

Volumn 18, Issue 2, 2002, Pages 306-314

  Cline, Melissa ^a   Hughey, Richard ^a   Karplus, Kevin ^a  

^a University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PEPTIDE; PEPTIDE LIBRARY;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; CONTROLLED STUDY; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN SECONDARY STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; VALIDATION PROCESS;

EID: 0036188264     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.2.306     Document Type: Article

References (26)

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5. Surprising similarities in structure comparison
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7. Dynamic programming alignment accuracy
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9. Progress in protein structure prediction
10. Hidden Markov models for detecting remote protein homologies
11. Neural network learning based on stochastic sensitivity analysis
12. Hidden Markov models in computational biology: Applications to protein modeling
13. A retrospective analysis of CASP2 threading predictions
14. Quantifying the local reliability of a sequence alignment
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18. Twilight zone of protein sequence alignments
19. Large-scale comparison of protein sequence alignment algorithms with structural alignments
20. Dirichlet mixtures: A method for improving detection of weak but significant protein sequence homology
21. Near-optimal sequence alignment
22. Determination of reliable regions in protein sequence alignments
23. Optimizing reduced space sequence alignment
24. Positional statistical significance in sequence alignment
25. Post-processing long pairwise alignments
26. Alignment of molecular sequences seen as random path analysis