Genome informatics aims to develop: rapid and accurate RNA sequence information analysis technologies based on secondary structure, sequence motif extraction for the discovery of transcription regulatory sites, and software tools for RNA and promoter analysis. The applications of these technologies include the analysis of transcription control mechanisms, prediction of the influence of genetic polymorphisms, and the discovery of novel functional RNA.
Molecular Informatics seeks to integrate molecular design strategies with extant technologies such as protein structure/function prediction and molecular simulation in an effort to develop accurate drug discovery support tools for target proteins and degenerative disease-related peptides/carbohydrate chains. It looks to develop methods for predicting the complex structures of protein-protein or protein-other biological molecule (nucleic acid, compound, or carbohydrate chain) by large-scale computation.
Cellular Informatics focuses on intracellular networks including gene expression, metabolism, and signal transduction using an engineering approach. It seeks to establish a comprehensive human cell database and develop an integrative and global cellular information analysis environment combining information on cell morphology, function, and transdifferentiation with gene expression data. Enabling the prediction of intracellular networks including biological molecules with unknown functions, we develop technologies that support the discovery of novel drug targets and the prediction of adverse drug reactions.
This is aimed at the establishment of a bioinformatics information platform that seamlessly integrates internal and external databases and software using current information technologies.
Combines the latest mathematical methods and bioinformatics analysis technologies using large-scale computation on the order of several thousand processors to develop practicable systems.