作者: Sebastian Charbonnier , Oriol Gallego , Anne-Claude Gavin
DOI: 10.1016/S1387-2656(08)00001-X
关键词: Emerging technologies 、 Scale (chemistry) 、 Biology 、 Computational biology 、 Nanotechnology 、 Social network 、 Adaptation (computer science) 、 Interactome
摘要: Abstract Proteins very rarely act in isolation. Biomolecular interactions are central to all biological functions. In human, for example, interference with biomolecular networks often lead disease. Protein–protein and protein–metabolite have traditionally been studied one by one. Recently, significant progresses made adapting suitable tools the global analysis of interactions. Here we review this suite powerful technologies that enable an exponentially growing number large-scale interaction datasets. These new already contributed a more comprehensive cartography several pathways relevant human pathologies, offering broader choice therapeutic targets. Genome-wide scale analyses model organisms reveal general organizational principles eukaryotic proteomes. We also biochemical approaches used past on smaller quantification binding constant thermodynamics parameters governing interaction. The adaptation these measurement (semi-)quantitative terms represents important challenge.