Translocatome：细胞器间蛋白质转位分析的新资源
Translocatome: a novel resource for the analysis of protein translocation between cellular organelles
摘要：
在这里，我们介绍了Translocatome，第一个专门的人类易位蛋白数据库。Translocatome数据库的核心是213种人类易位蛋白的手动管理数据集，列出了它们的实验验证来源，它们的易位机制的几个细节，它们的局部区室化相互作用组，以及它们参与信号通路和疾病发展。此外，使用成熟且广泛使用的梯度增强机器学习工具XGBoost，Translocatome提供了13，066种人类蛋白质的易位概率值，分别识别出1133种和3268种高置信度和低置信度易位蛋白质。该数据库具有用户友好的搜索选项，具有UniProt自动完成快速搜索和高级搜索功能，可根据蛋白质的定位、UniProt标识符、易位可能性或数据复杂性进行过滤。搜索结果的下载选项，手动策划和预测易位蛋白质集可在其网站上。该数据库的更新是由其手动策展框架和连接到以前公布的ComPPI区室化蛋白质相互作用数据库的帮助。如merlin（NF 2）和肿瘤蛋白63（TP 63）的应用实例所示，易位体允许更好地理解作为系统生物学现象的蛋白质易位，并且可以用作蛋白质易位领域的发现工具。该数据库可在这里：http://translocatome.linkgroup.hu
英文摘要：
Here we present Translocatome, the first dedicated database of human translocating proteins. The core of the Translocatome database is the manually curated data set of 213 human translocating proteins listing the source of their experimental validation, several details of their translocation mechanism, their local compartmentalized interactome, as well as their involvement in signalling pathways and disease development. In addition, using the well-established and widely used gradient boosting machine learning tool, XGBoost, Translocatome provides translocation probability values for 13,066 human proteins identifying 1133 and 3268 high- and low-confidence translocating proteins, respectively. The database has user-friendly search options with a UniProt autocomplete quick search and advanced search for proteins filtered by their localization, UniProt identifiers, translocation likelihood or data complexity. Download options of search results, manually curated and predicted translocating protein sets are available on its website. The update of the database is helped by its manual curation framework and connection to the previously published ComPPI compartmentalized protein-protein interaction database. As shown by the application examples of merlin (NF2) and tumor protein 63 (TP63) Translocatome allows a better comprehension of protein translocation as a systems biology phenomenon and can be used as a discovery-tool in the protein translocation field. The database is available here: http://translocatome.linkgroup.hu
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
