[Comparative analysis of methods for recognizing potential transcription factor binding sites].

A complex approach to recognize transcription factor binding sites (TFBS) has been developed based on four methods: (i) weight matrix, (ii) information content, (iii) multidimensional alignment, and (iv) pairwise alignment with the most similar representative of known sites. It has been shown that no method optimal for all kinds of sites occurs among the considered methods, so in each case, the appropriate way of recognition should be chosen. The approach proposed allows one to minimize the errors of TFBS recognition.

[Locus-controlling regions: description in the LCR-TRRD data base].

The structural and functional organization of locus control regions (LCR) was analyzed using data of the LCR-TRR Database. The role of several transcription factors in the LCR function was considered. A study was made of the possible nucleosomal packing of enhancer regions in LCR.

[Regulation of eukaryotic gene transcription: description in the TRRD database].

The structure of the Transcription Regulatory Regions Database (TRRD) and the principles of considering transcription regulation of eukaryotic genes in TRRD are concerned. Formal description of the structural and functional organization of the regulatory gene regions is illustrated with examples. By now, TRRD is based on 3500 original works and contains data on transcription regulation of more than 1100 genes known to possess more than 5000 transcription factor-binding sites and about 1600 regulatory elements (promoters, enhancers, silencers).

[WWWMGS: an integrated server for molecular-genetic studies].

We report an integrative technology for molecular biology studies in the field of transcription regulation by using Internet. A set of databases, programs, and systems are included into WWWMGS Web server. For example, the use of TRRD database information for site prediction is described.

[Detection and analysis of clinico-pathogenetic variants of the labile stage of hypertension using mathematical methods of image recognition].

The method of cluster analysis was used for automatic classification of patients with the labile stage of hypertensive disease according to 15 parameters reflecting the condition of hemodynamics and its regulation. Two groups differing in the principal factors of high arterial pressure maintenance were distinguished. Clinical and physiological analysis of the distinguished groups was conducted on the basis of the furosemide test.