Interactome modeling

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.

Abbreviations: 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

Keywords: ORFeome, Interactome, Network biology, Systems biology, Integrative omics, Reverse two-hybrid system, Interaction-defective alleles