[Bio-database literacy and its application with cis-regulatory modules to find novel drug target proteins].
We have expected Bioinformatics as tools to extract new knowledge from whole genome sequences of various organisms. In the post-genome era, to find some knowledge of the gene regulation including locations of cis-regulatory elements, modules and those combinations became one of the big challenges on Bioinformatics field. Because, it is difficult and inefficient to determine all possible combinations of cis-regulatory elements by bio-chemical approach. However, computational ways might allow us to find out all cis-elements within a time frame. In this review, we introduce the current status of public available databases on Internet comparing our original database for the cis-modules. We also explain our new mathematical measurement to characterize sequence patterns for cis-elements of each transcription factors and its application to predict the gene expression regulation network.
Miyazaki
Satoru
S
Department of Medicinal and Life Science, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Yamazaki, Noda City, Japan. smiyazak@rs.noda.tus.ac.jp
D019295:Computational Biology; D030541:Databases, Genetic; D016503:Drug Delivery Systems; D015195:Drug Design; D055808:Drug Discovery; D019277:Entropy; D005786:Gene Expression Regulation; D020407:Internet; D011506:Proteins; D014157:Transcription Factors / Q000235:genetics
D011506:Proteins; D014157:Transcription Factors