Prediction and 3D visualization of biological networks using cytological disease mapping

The subcellular localization of biochemical networks is one of the new challenges of the post-genomic era. It may be used in future as an additional criteria to judge the probability of potential proteomic interaction partners, to choose the appropriate experimental constellations or to create virtual cell environments. Today we can use database integration tools and text mining for the prediction of biological networks. However, we can use the same tools for the prediction of the localization values of each component of biological networks. Having this information calculated we can realize a 3D (2D) visualization of biochemical networks based on a 3D (2D) virtual cell. Therefore we extended our CELLmicrocosmos (http://Cm4.CELLmicrocosmos.org) project.