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转化医学本体与知识库：通过弥合实验室与临床之间的差距推动个性化医疗。

The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside.

作者信息

Luciano Joanne S, Andersson Bosse, Batchelor Colin, Bodenreider Olivier, Clark Tim, Denney Christine K, Domarew Christopher, Gambet Thomas, Harland Lee, Jentzsch Anja, Kashyap Vipul, Kos Peter, Kozlovsky Julia, Lebo Timothy, Marshall Scott M, McCusker Jamie P., McGuinness Deborah L, Ogbuji Chimezie, Pichler Elgar, Powers Robert L, Prud'hommeaux Eric, Samwald Matthias, Schriml Lynn, Tonellato Peter J, Whetzel Patricia L, Zhao Jun, Stephens Susie, Dumontier Michel

机构信息

Rensselaer Polytechnic Institute, Troy, NY, USA.

出版信息

J Biomed Semantics. 2011 May 17;2 Suppl 2(Suppl 2):S1. doi: 10.1186/2041-1480-2-S2-S1.

DOI:10.1186/2041-1480-2-S2-S1
PMID:21624155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3102889/
Abstract

BACKGROUND

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.

RESULTS

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.

CONCLUSIONS

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.

AVAILABILITY

TMO can be downloaded from http://code.google.com/p/translationalmedicineontology and TMKB can be accessed at http://tm.semanticscience.org/sparql.

摘要

背景

转化医学需要整合从医疗保健到生命科学的异构数据知识。在此，我们描述了一项合作努力，以创建一个能够回答与临床实践和药物研发相关问题的转化医学知识库（TMKB）原型。

结果

我们开发了转化医学本体（TMO）作为统一本体，将化学、基因组和蛋白质组数据与疾病、治疗和电子健康记录整合在一起。我们展示了语义网技术在整合患者和生物医学数据中的应用，并揭示了这样一个知识库如何帮助医生提供个性化的患者护理，并促进患者参与正在进行的临床试验招募。因此，患者、医生和研究人员可以探索该知识库，以更好地了解治疗选择、疗效和作用机制。

结论

这项工作在利用语义网技术促进相关、分布式外部资源整合以及朝着支持个性化医疗的计算平台发展方面迈出了重要一步。

可用性

TMO可从http://code.google.com/p/translationalmedicineontology下载，TMKB可通过http://tm.semanticscience.org/sparql访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3928/3102889/f1f96baefa22/2041-1480-2-S2-S1-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3928/3102889/2aec85ea65f4/2041-1480-2-S2-S1-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3928/3102889/0c24203c5bb7/2041-1480-2-S2-S1-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3928/3102889/f1f96baefa22/2041-1480-2-S2-S1-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3928/3102889/2aec85ea65f4/2041-1480-2-S2-S1-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3928/3102889/0c24203c5bb7/2041-1480-2-S2-S1-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3928/3102889/f1f96baefa22/2041-1480-2-S2-S1-3.jpg

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