Université Paris Cité and Université des Antilles and Université de la Réunion, INSERM, BIGR, F-75015 Paris, France.
Laboratoire d'Excellence GR-Ex, 75015 Paris, France.
Nucleic Acids Res. 2022 Jul 5;50(W1):W732-W738. doi: 10.1093/nar/gkac370.
Understanding the functions and origins of proteins requires splitting these macromolecules into fragments that could be independent in terms of folding, activity, or evolution. For that purpose, structural domains are the typical level of analysis, but shorter segments, such as subdomains and supersecondary structures, are insightful as well. Here, we propose SWORD2, a web server for exploring how an input protein structure may be decomposed into 'Protein Units' that can be hierarchically assembled to delimit structural domains. For each partitioning solution, the relevance of the identified substructures is estimated through different measures. This multilevel analysis is achieved by integrating our previous work on domain delineation, 'protein peeling' and model quality assessment. We hope that SWORD2 will be useful to biologists searching for key regions in their proteins of interest and to bioinformaticians building datasets of protein structures. The web server is freely available online: https://www.dsimb.inserm.fr/SWORD2.
理解蛋白质的功能和起源需要将这些大分子分裂成片段,这些片段在折叠、活性或进化方面可以是独立的。为此,结构域是典型的分析水平,但较短的片段,如亚结构域和超二级结构,也具有洞察力。在这里,我们提出了 SWORD2,这是一个用于探索输入蛋白质结构如何可以分解成“蛋白质单元”的网络服务器,可以通过层次组装来限定结构域。对于每个分区解决方案,通过不同的度量来估计所识别的子结构的相关性。这种多层次分析是通过整合我们之前在域划定、“蛋白质剥皮”和模型质量评估方面的工作来实现的。我们希望 SWORD2 对寻找感兴趣蛋白质中的关键区域的生物学家和构建蛋白质结构数据集的生物信息学家有用。该网络服务器可免费在线使用:https://www.dsimb.inserm.fr/SWORD2。