LCSB, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Protein Sci. 2023 Feb;32(2):e4565. doi: 10.1002/pro.4565.
Protein function is often interpreted using molecular interaction diagrams, encoding roles a given protein plays in various molecular mechanisms. Information about disease-related mechanisms can be inferred from disease maps, knowledge repositories containing manually constructed systems biology diagrams. Disease maps hosted on the Molecular Interaction Network VisuAlization (MINERVA) Platform are individually accessible through a REST API interface of each instance, making it challenging to systematically explore their contents. To address this challenge, we introduce the MINERVA Net web service, a repository of open-access disease maps allowing users to publicly share minimal information about their maps. The MINERVA Net repository provides REST API endpoints of particular disease maps, which then can be individually queried for content. In this article, we describe the concept of MINERVA Net and illustrate its use by comparing proteins and their interactions in three different disease maps.
蛋白质的功能通常通过分子相互作用图来解释，该图编码了给定蛋白质在各种分子机制中所扮演的角色。疾病相关机制的信息可以从疾病图谱中推断出来，疾病图谱是包含人工构建的系统生物学图谱的知识库。MINERVA 平台上托管的疾病图谱可以通过每个实例的 REST API 接口单独访问，这使得系统地探索它们的内容变得具有挑战性。为了解决这个挑战，我们引入了 MINERVA Net 网络服务，这是一个开放获取疾病图谱的存储库，允许用户公开分享他们图谱的最小信息。MINERVA Net 存储库提供了特定疾病图谱的 REST API 端点，然后可以单独查询这些端点的内容。在本文中，我们描述了 MINERVA Net 的概念，并通过比较三个不同疾病图谱中的蛋白质及其相互作用来说明其用法。
