Clustering protein interaction data through chaotic genetic algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4247 LNCS, Issue , 2006, Pages 858-864

  Hongbiao, Liu ^a   Juan, Liu ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; GENES; GENETIC ALGORITHMS; YEAST;

CHAOTIC GENETIC ALGORITHM (CGA); PROTEIN COMPLEXES;

PROTEINS;

EID: 33751383776     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (14)

1. Alberts, B.: The cell as a collection of protein machines: Preparing the next generation of molecular biologists. Cell 92 (1998) 291-294
2. Hartwell.L.H., Hopfield J.J., and Leibler S.,et al.: From molecular to modular cell biology, Nature 402 (1999) C47-C52.
3. Gavin A.C., Aloy, P., and Grandi, P., et al.: Proteome survey reveals modularity of the yeast cell machinery. Nature 440 (2006) 631-6
4. Dziembowski, A. and Seraphin, B.: Recent Developments in the analysis of protein complexes, FEBS Letters 556 (2004) 1-6
5. Bernal, J.D, Fankuchen I., and Perutz, M.F.: An X-Ray study of Chymotrypsin and Haemoglobin, Nature 141 (1938) 523-524
6. Drenth,J.: Principles of protein X-Ray crystallography. Springer Verlag, (1994)
7. Wuthrich,K.: NMR of proteins and nucleic acids. New York: John Wiley and Sons, (1986)
8. Wand, A. and Englander, S.: Protein complexes studied by NMR spectroscopy, Current Opinion in Biotechnology 7 (1996) 403-408
9. King,A.D., Przulj,N. and Jurisica, I.: Protein complex prediction via cost-based clustering, Bioinformatics 20 (2004) 3013-3020
10. Bader,G. & Hogue, C.: An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinformatics 4 (2003)
11. Přzulj,N.: Graph theory approaches to protein interaction data analysis. In Jurisica,I., Wigle,D.(eds): Knowledge Discovery in High-Throughput Biological Domains, Interpharm/CRC. (2004)
12. Li Zicai, Zhang Dan and Wang Hong: Simulated optimization method based on chaotic vector. Control and Decision 14 (1999) 382-384
13. von Mering,C., Kraus,R., and Snel,B., et al.: Comparative assessment of large-scale data sets of protein-protein interactions, Nature 417 (2002) 399-403
14. Mewes,H.W., Frishman., and Guldener,U., et al.: Mips: a database for genomes and protein sequences. Nucleic Acids Research30 (2002) 31-4