Prediction of Protein-to-Protein Interactions
Poster Jan 10, 2007
C.Gilissen, P.Groot, P.Lucas, J.Veltman, A.GeurtsvanKessel and M.Egmont-Petersen
We use local extrema in microarray time series data as the basis for discretisation. By comparing discretised gene expressions using similarity functions, we discover putative protein-to-protein interactions. We validate the results by use of public true positive and true negative databases for protein-to-protein interactions and demonstrate the high predictiveness of these local extrema as a time series feature.
The immune system is a striking example of an integrated information system, engaged in coordinated host-protective activities. Organs-on-chip approach (OOC) models allow the direct simultaneous observation of hundreds of different cells, moving, interacting and responding to signals coming from the microenvironment nearby, that give access to a number of parameters describing the system that must be properly measured and elaborated.READ MORE