The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside.
The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside.
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DOI：
10.1186/2041-1480-2-s2-s1
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发表时间：
2011-05-17
影响因子：
1.9
通讯作者：
Dumontier M
中科院分区：
文献类型：
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作者：
Luciano JS;Andersson B;Batchelor C;Bodenreider O;Clark T;Denney CK;Domarew C;Gambet T;Harland L;Jentzsch A;Kashyap V;Kos P;Kozlovsky J;Lebo T;Marshall SM;McCusker JP;McGuinness DL;Ogbuji C;Pichler E;Powers RL;Prud'hommeaux E;Samwald M;Schriml L;Tonellato PJ;Whetzel PL;Zhao J;Stephens S;Dumontier M
转化医学需要使用从医疗保健到生命科学的不同数据整合知识。在这里，我们描述了一个合作努力，以产生一个原型转化医学知识库(TMKB)，能够回答有关临床实践和药物发现的问题。我们开发了转化医学本体(TMO)作为一个统一的本体，将化学、基因组和蛋白质数据与疾病、治疗和电子健康记录相结合。我们演示了语义网技术在患者和生物医学数据集成中的使用，并揭示了这样的知识库如何帮助医生提供量身定制的患者护理，并促进患者招募到积极的临床试验中。因此，患者、医生和研究人员可以探索知识库，以更好地了解治疗方案、疗效和作用机制。这项工作在使用语义网技术促进相关的、分布式的外部来源的集成方面迈出了重要的一步，并朝着支持个性化医疗的计算平台迈进了一步。TMO可以从http://code.google.com/p/translationalmedicineontology下载，TMKB可以在http://tm.semanticscience.org/sparql.上访问
Translational medicine requires the integration of knowledge using heterogeneous data from health care to the life sciences. Here, we describe a collaborative effort to produce a prototype Translational Medicine Knowledge Base (TMKB) capable of answering questions relating to clinical practice and pharmaceutical drug discovery. We developed the Translational Medicine Ontology (TMO) as a unifying ontology to integrate chemical, genomic and proteomic data with disease, treatment, and electronic health records. We demonstrate the use of Semantic Web technologies in the integration of patient and biomedical data, and reveal how such a knowledge base can aid physicians in providing tailored patient care and facilitate the recruitment of patients into active clinical trials. Thus, patients, physicians and researchers may explore the knowledge base to better understand therapeutic options, efficacy, and mechanisms of action. This work takes an important step in using Semantic Web technologies to facilitate integration of relevant, distributed, external sources and progress towards a computational platform to support personalized medicine. TMO can be downloaded from http://code.google.com/p/translationalmedicineontology and TMKB can be accessed at http://tm.semanticscience.org/sparql.