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Recognition of transcription factor binding sites by the SiteGA method

  • Molecular Biophysics
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Abstract

A new method, SiteGA, is proposed to recognize transcription factor binding sites. The method is based on the determination of locally positioned dinucleotides using a genetic algorithm and discriminant analysis. The method was used to develop programs for recognizing sites involved in the regulation of immune response and the cell growth (AP-1, IRF1, ISGF3, NFκB, STAT1) and the regulation of lipid metabolism (HNF4, PPAR, SREBP) and expression of steroidogenesis genes (SF-1). It was shown that the SiteGA method is far superior in accuracy to the widely used position weight matrix method. The web interface of the SiteGA recognition program is available at the address: http://wwwmgs2.bionet.nsc.ru/mgs/programs/sitega.

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Abbreviations

TFBS:

transcription factor binding sites

PWM:

position weight matrix

TF:

transcription factor

References

  1. N. A. Kolchanov, E. V. Ignatieva, E. A. Ananko, et al., Nucl. Acid Res. 30, 312 (2002).

    Article  Google Scholar 

  2. A. Kel, O. Kel-Margoulis, V. Babenko, and E. Wingender, J. Mol. Biol. 288, 353 (1999).

    Article  Google Scholar 

  3. M., Li N. Tompa, T. L. Bailey, et al., Nat. Biotechnol. 23(1), 137 (2005).

    Article  Google Scholar 

  4. G. D. Stormo, Bioinformatics 16, 16 (2000).

    Article  Google Scholar 

  5. P. V. Benos, M. L. Bulyk, and G. D. Stormo, Nucl. Acids Res. 30, 4442 (2002).

    Article  Google Scholar 

  6. Y. Barash, G. Elidan, N. Friedman, and T. Kaplan, in Proceeedings of the Seventh Annual International Conference on Computational Molecular Biology, Ed. by M. Vingron, S. Istrail, P. Pevzner, and M. Waterman (ACM, N.Y., 2003), pp. 28–37.

    Chapter  Google Scholar 

  7. Q. Zhou and J. S. Liu, Bioinformatics 20, 909 (2004).

    Article  Google Scholar 

  8. V. G. Levitsky and A. V. Katokhin, In Silico Biol. 3, 81 (2003).

    Google Scholar 

  9. O. G. Berg and P. H. von Hippel, J. Mol. Biol. 193, 723 (1987).

    Article  Google Scholar 

  10. T. V. Busygina, E. V. Ignat’eva, and A. V. Osadchuk, Biokhimiya 68, 467 (2003).

    Google Scholar 

  11. N. I. Gershenzon, G. D. Stormo, and I. P. Ioshikhes, Nucl. Acids Res. 33(7), 2290 (2005).

    Article  Google Scholar 

  12. R. Osada, E. Zaslavsky, and M. Singh, Bioinformatics 20(18), 3516 (2004).

    Article  Google Scholar 

  13. O. D. King, and F. P. Roth, Nucl. Acids Res. 31(19), e116 (2003).

    Article  Google Scholar 

Download references

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Original Russian Text © V.G. Levitskii, E.V. Ignat’eva, E.A. Anan’ko, T.I. Merkulova, N.A. Kolchanov, C.Hodgman, 2006, published in Biofizika, 2006, Vol. 51, No. 4, pp. 633–639.

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Levitskii, V.G., Ignat’eva, E.V., Anan’ko, E.A. et al. Recognition of transcription factor binding sites by the SiteGA method. BIOPHYSICS 51, 565–570 (2006). https://doi.org/10.1134/S0006350906040087

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  • DOI: https://doi.org/10.1134/S0006350906040087

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