We developed a comprehensive information platform for bioscience research and drug discovery in the post-genome era, named KeyMolnet.
Thanks to the technological advances of recent years, it is now possible to obtain very large quantities of data at a time. The DNA microarray technology might enable us to do so in the easiest way in the present time. However, it is very difficult to clarify biological function only by gene expression data even if they were cyclopedic. It needs information on proteins and also needs to integrate various kind of biological information. A platform for extracting meaningful information from such large quantities of data and for analyzing the relationship between the data and biological function, has long been awaited. We therefore developed an advanced tool, which can generate molecular networks upon demand, and can bind them to physiological events, medical and drug information.
Using KeyMolnet, we show new approaches to network analysis for proteomics and genomics research. KeyMolnet enables practical approaches to research into biological mechanisms, which in turn contributes to not only proteomics research but to discovery in medical, pharmaceutical and life sciences.
