A method for protein secondary structure prediction

Authors

  • A. V. Bratus Institute of Molecular Biology and Genetics, NAS of Ukraine 150, Akademika Zabolotnoho Str., Kyiv, Ukraine, 03680 Author
  • N. A. Choshchin Institute of Molecular Biology and Genetics, NAS of Ukraine 150, Akademika Zabolotnoho Str., Kyiv, Ukraine, 03680 Author

DOI:

https://doi.org/10.7124/bc.0004C9

Abstract

A new method for protein secondary structure prediction is described in the present article. This method based on LOGIS-method. Information for secondary structure of 108 proteins (20000 AAs) with X-ray resolution less than 0.2 nm was used for learning and prediction of protein secondary structure. Average accuracy of successful prediction is 71 %.

References

Sternberg MJ, Islam SA. Local protein sequence similarity does not imply a structural relationship. Protein Eng. 1990;4(2):125-31.

Sergienko IV, Gupal AM, Bratus AV. LOG1S-system realizing statistical abductive conclusion on empirical data. Kibernetika. 1995;3: 160-73.

Kendall M, Stuart A. Multivariate statistical analysis and time series. M.: Nauka, 1976: 65-68.

Bratus AU, Maltchenko SZ, Chaschin NA. The proteins secondary structure prediction by the modified GUHA-method. Biopolym Cell. 1993; 9(5):61-6.

Rost B, Sander C. Combining evolutionary information and neural networks to predict protein secondary structure. Proteins. 1994;19(1):55-72.

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Published

1998-03-20

Issue

Vol. 14 No. 2 (1998)

Section

Methods