Santonico Elena, Castagnoli Luisa, Cesareni Gianni
Department of Biology, University of Rome Tor Vergata, Rome, Italy.
Drug Discov Today. 2005 Aug 15;10(16):1111-7. doi: 10.1016/S1359-6446(05)03513-0.
The development and application of high-throughput technology to study protein interactions has led to the construction of complex interaction maps, the correct interpretation of which is crucial to the identification of targets for drug development. Here we propose that a more informative description of protein interaction networks can be achieved by considering explicitly the modular nature of proteins. In this representation, proteins are drawn as covalently linked modular domains binding to their target sites in partner proteins. Families of conserved modules that bind to relatively short peptides mediate a large fraction of the non-covalent interactions linking different proteins in the network. As these interactions are often involved in the propagation of signal transduction, determining the recognition specificity of each domain family member is an essential step toward a functional description of the global interactome.
高通量技术在蛋白质相互作用研究中的发展与应用已促成了复杂相互作用图谱的构建,而对其进行正确解读对于确定药物研发靶点至关重要。在此,我们提出,通过明确考虑蛋白质的模块化性质,可以实现对蛋白质相互作用网络更具信息性的描述。在这种表示法中,蛋白质被描绘为由共价连接的模块化结构域与其在伴侣蛋白中的靶位点结合组成。与相对短肽结合的保守模块家族介导了网络中连接不同蛋白质的大部分非共价相互作用。由于这些相互作用常常参与信号转导的传播,确定每个结构域家族成员的识别特异性是迈向对全局相互作用组进行功能描述的关键一步。