NPS@: Network protein sequence analysis

Trends in Biochemical Sciences

Volumn 25, Issue 3, 2000, Pages 147-150

  Combet, C ^a   Blanchet, C ^a   Geourjon, C ^a   Deleage G ^a  

^a INSTITUT DE BIOLOGIE ET CHIMIE DES PROTÉINES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

AMINO ACID SEQUENCE; COMPUTER PROGRAM; DATA BASE; INTERNET; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; SEQUENCE ANALYSIS; SHORT SURVEY;

EID: 0034161321     PISSN: 09680004     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0968-0004(99)01540-6     Document Type: Note

References (17)

1. Kreil D.P., Etzold T. DATABANKS - a catalogue database of molecular biology databases. Trends Biochem. Sci. 24:1999;155-157.
2. Altschul S.F.et al. Gapped BLAST and PSI-BLAST: a new generation of protein database saerch programs. Nucleic Acids Res. 25:1997;3389-3402.
3. Pearson W.R., Lipman D.J. Improved tools for biological sequence analysis. Proc. Natl. Acad. Sci. U. S. A. 85:1988;2444-2448.
4. Hofmannet al. The PROSITE database, its status in 1999. Nucleic Acids Res. 27:1999;215-219.
5. Thompson J.D.et al. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, positions-specific gap penalties and weight matrix choice. Nucleic Acids Res. 22:1994;4673-4680.
6. Corpet F. Multiple sequence alignment with hierarchical clustering. Nucleic Acids Res. 16:1988;10881-10890.
7. Geourjon C., Deléage G. SOPM: a self-optimised method for protein secondary structure prediction. Protein Eng. 7:1994;157-164.
8. Geourjon C., Deléage G. SOPMA: Significant improvement in protein secondary structure prediction by consensus prediction from multiple alignments. Comp. Appl. Biosc. 11:1995;681-684.
9. Guermeur Y.et al. Improved performance in protein secondary structure prediction by inhomogeneous score combination. Bioinformatics. 15:1999;413-421.
10. Deléage G., Roux B. An algorithm for protein secondary structure prediction based on class prediction. Protein Eng. 1:1987;289-294.
11. King R.D., Sternberg M.J. Identification and application of the concepts important for accurate and reliable protein secondary structure prediction. Protein Sci. 17:1996;3389-3407.
12. Garnier J.et al. Analysis of the accuracy and implications of simple methods for predicting the secondary structure of globular proteins. J. Mol. Biol. 120:1978;97-120.
13. Gibrat J.F.et al. Further developments of protein secondary structure prediction using information theory. J. Mol. Biol. 198:1987;425-443.
14. Garnier J.et al. GOR secondary structure prediction method version IV. Methods Enzymol. 266:1996;540-553.
15. Rost B., Sander C. Prediction of protein secondary structure at better than 70% accuracy. J. Mol. Biol. 232:1993;584-599.
16. Frishman D., Argos P. Incorporation of non-local interactions in protein secondary structure prediction from the amino acid sequence. Protein Eng. 9:1996;133-142.
17. Levin J. Exploring the limits of nearest neighbour secondary structure prediction. Protein Eng. 7:1997;771-776.