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Interactome modeling
Authors:Vidal Marc
Institution:Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, 44 Binney Street, Boston, MA 02115, USA. marc_vidal@dfci.harvard.edu
Abstract:A long-term goal of the field of interactome modeling is to understand how global and local properties of complex macromolecular networks impact on observable biological properties, and how changes in such properties can lead to human diseases. The information available at this stage of development of the field provides strong evidence for the existence of such interesting global and local properties, but also demonstrates that many more datasets will be needed to provide accurate models with increasingly predictive capacity. This review focuses on an early attempt at mapping a multicellular interactome network and on the lessons learned from that attempt.
Keywords:Y2H  yeast two-hybrid system  R2H  reverse two-hybrid system  HT  high-throughput  DB  DNA binding domain  AD  activation domain  ORF  open reading frame  EST  expressed sequence tag  IST  interaction sequence tag  IDA  interaction-defective allele
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