RESUMEN
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. The program available through the Internet (http://www.sgi.sscc.ru/mgs/programs/multalig/) has been created to search for the potential TFBS in nucleotide sequences set by the user.
Asunto(s)
Bases de Datos de Ácidos Nucleicos , Factores de Transcripción/metabolismo , Secuencia de Bases , Sitios de Unión , ADN , Internet , Regiones Promotoras GenéticasRESUMEN
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. Using this method, the computer system SeqAnn was developed. The system performs the "real time" searching for prediction of initiation transcription site position according to database information. WWWMGS is available at URL: http://wwwmgs.bionet.nsc.ru/.