Development and Commercialization of the Microphysiological Systems Database as a Sustainable Resource

摘要 微生理系统数据库中心(MPS-DBC)开发并实施了 微生理学数据库(MPS-DB)支持管理、分析、共享、集成 在一个平台中对数据进行不同的信息和计算建模，从而改进 MPS用户工作的系统化方式。元数据、实验数据和参考文献的聚合 提供可靠和相关的结果解释，并将数据集中在一起 Locate促进了用户定义的协作者和组之间的数据共享。随时可以访问 可挖掘格式的实验数据、元数据和参考数据提供了方便的 MPS性能统计分析平台，构建计算建模工具 预测PK，确定复合作用机制，并推断疾病的途径 进步。我们一直在帮助用户捕获和管理MPS数据，并且 MPS-DB是组织芯片检测中心程序数据的中央储存库。我们建议 通过以下方式建立MPS-DB的研究和商业价值：1)继续支持MPS 用户建立数据库内容；2)实现在线临床前/临床一致性分析 功能；3)增强数据挖掘和计算建模工具套件；以及4) 用于确保数据质量和将数据安全、受控地发布到 用户定义的组。我们将实施MPS-DB的商业版本，可以驻留在 在公司防火墙后的受控网络上管理专有数据，同时 仍然提供对公共MPS资源的访问。最后，我们建议建立一个自我 支持MPS-DB和实验分析公司，将从以下项目获得收入 商业用户维护和进一步开发面向所有用户的MPS-DB。

Abstract The Micorphysiology Systems Database Center (MPS-DbC) developed and implemented the Microphysiology database (MPS-Db) enabling the management, analysis, sharing, integration of diverse information and computational modeling of data in one platform, improving the systematic way MPS users work. Aggregation of metadata, experimental data, and references provides for robust and relevant interpretation of the results, and having the data centrally located facilitates data sharing among user-defined collaborators and groups. Ready access to experimental data, metadata, and reference data in a mineable format provides a convenient platform for statistical analysis of MPS performance, and building computational modeling tools to predict PK, identify compound mechanisms of actions, and infer pathways of disease progression. We have been assisting users in capturing and managing MPS data, and the MPS-Db is the central repository for the Tissue Chip Testing Center program data. We propose to build the research and commercial value of the MPS-Db by: 1) continuing to support MPS users to build database content; 2) enabling on-line preclinical/clinical concordance analysis capabilities; 3) enhancing the suite of data mining and computational modeling tools; and 4) augmenting methods for ensuring data quality and the secure, controlled release of data to user-defined groups. We will implement a commercial version of the MPS-Db that can reside on a controlled network behind corporate firewalls for the management of proprietary data while still providing access to public MPS resources. Finally, we propose to establish a self- sustaining MPS-Db and experimental analytics company that will generate revenue from commercial users for the maintenance and further development of the MPS-Db for all users.