Drug Repurposing for Cancer Therapy: From Man to Molecules to Man

摘要 该项目旨在开发和实现多种但集成的药物计算工具， 通过利用免费的大数据流来重新利用，即，非结构化文本（社交媒体 网络、已发表的生物医学文献和电子健康记录）、电子数据库 化学-生物相互作用和途径，以及实验室数据（ 化学图书馆）。我们希望在这个项目中开发的工具将有助于 为研究项目重新利用观测文本数据（解决第二个挑战 的基础RFA）。此外，设想的将这些数据转换为 适合于药物作用的定量建模也将使得文本和 实验室数据以创建可挖掘的元数据（参见第三个挑战）。

Abstract This project aims to develop and implement multiple but integrated computational tools for drug repurposing by exploiting complimentary big data streams, i.e., unstructured texts (social media networks, published biomedical literature, and electronic health records), electronic databases of chemical-biological interactions and pathways, and laboratory data (biological screening of chemical libraries). We expect that tools to be developed in this project will be useful for repurposing observational textual data for research projects (addressing the second challenge of the underlying RFA). In addition, the envisioned translation of this data into a format amenable to quantitative modeling of drug effects will also enable integration of textual and laboratory data to create minable metadata (cf. the third challenge).