A novel method of multiple sequence alighment of biopolymers (program H-Align of the GenBee package)

Authors

  • L. I. Brodsky Coop 2 "ComBee" associated with Soviet-French-Italian Joint Venture "Interquadro" Moscow, USSR Author
  • A. L. Drachev A. N. Belozersky Interfaculty Laboratory of Molecular Biology and Bioorganic Chemistry, M. V. Lomonosov State University Moscow, USSR Author
  • A. M. Leontovich A. N. Belozersky Interfaculty Laboratory of Molecular Biology and Bioorganic Chemistry, M. V. Lomonosov State University Moscow, USSR Author

DOI:

https://doi.org/10.7124/bc.000049

Abstract

Summary Generalization of the multiple alignment is central to the entire field of biological sequence analysis. The algorithm of alignment by program H-align incorporated in GenBee package is a result of development of the local similarity search principle. It has two stages: 1) generalization of all the conservative regions (they cannot be present in all the aligning sequences). 2) optimal arrangement of these regions using two criteria — maximization of the total power of the conservative regions and minimization of the total number of spaces. This algorithm has at least two advantages over traditional algorithms (such as Needleman-Wunsch's one) : no penalty for insertion / deletion; not subsequent pair aligning procedure. The efficiency of the algorithm is shown at model example.

References

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Gotoh O. Alignment of three biological sequences with an efficient traceback procedure. J Theor Biol. 1986;121(3):327-37.

Sobel E, Martinez HM. A multiple sequence alignment program. Nucleic Acids Res. 1986;14(1):363-74.

Bacon DJ, Anderson WF. Multiple sequence alignment. J Mol Biol. 1986;191(2):153-61.

Leontovich AM, Brodsky LI, Gorbalenya AE. Compile of a complete map of local similarity for two biopolymers (DotHelix PROGRAM of the GenBee package). Biopolym Cell. 1990; 6(6):14-21.

Dayhoff MO, Barker WC, Hunt LT. Establishing homologies in protein sequences. Methods Enzymol. 1983;91:524-45.

Published

1991-01-20

Issue

Section

Biopolymers and Cell