Prediction of contact numbers of amino acid residues using a neural network regression algorithm

Biophysics

Volumn 51, Issue SUPPL 1, 2006, Pages 56-60

  Afonnikov, D A ^a,b   Morozov, A V ^a   Kolchanov, N A ^a  

^a INSTITUTE OF CYTOLOGY AND GENETICS   (Russian Federation)

^b NOVOSIBIRSK STATE UNIVERSITY   (Russian Federation)

Author keywords

Neural networks; Number of amino acid contacts; Protein structure

Indexed keywords

EID: 44849138208     PISSN: 00063509     EISSN: 15556654     Source Type: Journal    
DOI: 10.1134/S0006350906070128     Document Type: Article

References (18)

1. K. Nishikawa and O. Ooi, Int. J. Pept. Protein. Res. 16(1), 19 (1980).
2. M. A. Rodionov, S. G. Galaktionov, and A. A. Akhrem, Dokl. Akad. Nauk SSSR 261(2), 756 (1981).
3. A. Rost and C. Sander, Proteins 20(3), 216 (1994).
4. K. Nishikawa and Y. Matsuo, Protein Eng. 6(8), 811 (1993).
5. P. Fariselli, O. Olmea, A. Valencia, and R. Casadio, Proteins 45(5), 157 (2001).
6. P. Fariselli and R. Casadio, Proceedings of the International Conference of Intelligence Systems in Molecular Biology, 8, 146 (2000).
7. G. Pollastri, P. Baldi, P. Fariselli, and R. Casadio, Proteins 47(2), 142 (2002).
8. A. R. Kinjo, K. Horimoto, and K. Nishikawa, Proteins 58(1), 158 (2005).
9. Z. Yuan, BMC Bioinformatics 6, 248 (2005).
10. A. R. Kinjo and K. Nishikawa, BMC Bioinformatics 7, 401 (2006).
11. S. Ahmad, M. M. Gromiha, and A. Sarai, Proteins 50(4), 629 (2003).
12. D. O. Jones, J. Mol. Biol. 292(2), 195 (1999).
13. H. M. Berman, J. Westbrook, Z. Feng, et al., Nucleic Acids Res. 28(1), 235 (2000).
14. A. Andreeva, D. Howorth, S. E. Brenner, et al., Nucleic Acids Res. 32 (Database issue), D226 (2204).
15. S. K. Riis and A. Krogh, J. Comput. Biol. 3, 163 (1996).
16. P. Baldi and S. Brunak, Bioinformatics: The Machine Learning Approach, 2nd edition (MIT, Cambridge, MA, 2001).
17. S. F. Altschul, T. L. Madden, A. A. Schaffer, et al., Nucleic Acids Res. 25(17), 3389 (1997).
18. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, in Parallel Distributed Processing, Ed. by D. E. Rumelhart and J. L. McClelland (MIT, Cambridge, MA, 1986), Vol. 1, pp. 318-362.