关键词: Comparative modeling Interactomes Protein sequence Proteome annotations

Mesh : Software Protein Interaction Mapping / methods Computational Biology / methods Internet Protein Interaction Domains and Motifs Proteins / chemistry metabolism Protein Interaction Maps Amino Acid Motifs Humans Databases, Protein Protein Binding

来  源:   DOI:10.1007/978-1-0716-4007-4_14

Abstract:
Interactomics is bringing a deluge of data regarding protein-protein interactions (PPIs) which are involved in various molecular processes in all types of cells. However, this information does not easily translate into direct and precise molecular interfaces. This limits our understanding of each interaction network and prevents their efficient modulation. A lot of the detected interactions involve recognition of short linear motifs (SLiMs) by a folded domain while others rely on domain-domain interactions. Functional SLiMs hide among a lot of spurious ones, making deeper analysis of interactomes tedious. Hence, actual contacts and direct interactions are difficult to identify.Consequently, there is a need for user-friendly bioinformatic tools, enabling rapid molecular and structural analysis of SLiM-based PPIs in a protein network. In this chapter, we describe the use of the new webserver SLiMAn to help digging into SLiM-based PPIs in an interactive fashion.
摘要:
Interactomics带来了关于蛋白质-蛋白质相互作用(PPI)的大量数据,这些数据涉及所有类型细胞的各种分子过程。然而,这些信息不容易转化为直接和精确的分子界面。这限制了我们对每个交互网络的理解,并阻止了它们的有效调制。许多检测到的相互作用涉及通过折叠域识别短线性基序(SLiM),而其他相互作用依赖于域-域相互作用。功能性SLiM隐藏在许多虚假的中间,对交互体进行更深入的分析。因此,实际接触和直接互动很难识别。因此,需要用户友好的生物信息学工具,能够在蛋白质网络中对基于SLiM的PPI进行快速分子和结构分析。在这一章中,我们描述了使用新的网络服务器SLiMAn来帮助以交互式方式挖掘基于SLiM的PPI。
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