Original scientific paper

Sequence Analysis by Set-Spectrum Algorithms

Lech Schulz ; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland

Abstract

An extended viewpoint of biochemical structure has been applied in the structural comparison beyond anticipating visualization and alignment. The self-organization features of biopolymers, prespecified by the underlying molecular components, were reflected in set- theoretical representations (called set spectra) to enrich the structure recognition. Then, the combinations of factors of similarity and dissimilarity involved in special metrics were effectively used in practical algorithms for a resultant, quantitative comparison of the varieties of properties. The nonstatistical, alternative algorithms used allow one to assess precisely the relationship between the distinguished properties of sequences and physical phenomena. In the work, the 5S rRNA families of sequences were tested with respect to their nonvisualized (in general), mathematically determined properties, and then correlations with biological systems were elicited. The method used has many advantages as an alternative approach to the research on the mechanisms of life, diseases, mutations, genetic code problems, etc.

Keywords

Hrčak ID:

135652

URI

https://hrcak.srce.hr/135652

Publication date:

1.9.1997.

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