论文标题
PCN-Miner的设计和开发：分析蛋白质接触网络的工具
Design and Development of PCN-Miner: A tool for the Analysis of Protein Contact Networks
论文作者
论文摘要
蛋白质接触网络（PCN）是分析蛋白质结构和功能的强大工具。特别是，PCN已用于通过PCN聚类揭示变构调节的分子特征。这种分析在许多应用中都相关，例如最近对SARS-COV-2峰值蛋白的研究。尽管具有相关性，但用于分析PCN的方法仍被扩展到一组不同的库和工具中。因此，引入包含所有功能的工具可以帮助研究人员。我们向PCN-Miner提出了一种在Python编程语言中实现的软件工具，能够以蛋白质数据库格式导入蛋白质并生成相应的蛋白质接触网络。然后，它提供了一组算法，用于分析涵盖一系列应用程序的PC：从聚类到嵌入到后续分析。 软件可在\ url {https://github.com/hguzzi/proteincontactnetworks}中获得
Protein Contact Network (PCN) is a powerful tool for analysing the structure and function of proteins. In particular, PCN has been used for disclosing the molecular features of allosteric regulation through PCN clustering. Such analysis is relevant in many applications, such as the recent study of SARS-CoV-2 Spike Protein. Despite its relevance, methods for the analysis of PCN are spread into a set of different libraries and tools. Therefore, the introduction of a tool that incorporates all the function may help researchers. We present PCN-Miner a software tool implemented in the Python programming language able to import protein in the Protein Data Bank format and generate the corresponding protein contact network. Then it offers a set of algorithms for the analysis of PCS that cover a large set of applications: from clustering to embedding and subsequent analysis. Software is available at \url{https://github.com/hguzzi/ProteinContactNetworks}
