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生物模型数据库:一个经过增强、整理和注释的已发表定量动力学模型资源库。

BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models.

作者信息

Li Chen, Donizelli Marco, Rodriguez Nicolas, Dharuri Harish, Endler Lukas, Chelliah Vijayalakshmi, Li Lu, He Enuo, Henry Arnaud, Stefan Melanie I, Snoep Jacky L, Hucka Michael, Le Novère Nicolas, Laibe Camille

机构信息

European Bioinformatics Institute, Hinxton, UK.

出版信息

BMC Syst Biol. 2010 Jun 29;4:92. doi: 10.1186/1752-0509-4-92.

Abstract

BACKGROUND

Quantitative models of biochemical and cellular systems are used to answer a variety of questions in the biological sciences. The number of published quantitative models is growing steadily thanks to increasing interest in the use of models as well as the development of improved software systems and the availability of better, cheaper computer hardware. To maximise the benefits of this growing body of models, the field needs centralised model repositories that will encourage, facilitate and promote model dissemination and reuse. Ideally, the models stored in these repositories should be extensively tested and encoded in community-supported and standardised formats. In addition, the models and their components should be cross-referenced with other resources in order to allow their unambiguous identification.

DESCRIPTION

BioModels Database http://www.ebi.ac.uk/biomodels/ is aimed at addressing exactly these needs. It is a freely-accessible online resource for storing, viewing, retrieving, and analysing published, peer-reviewed quantitative models of biochemical and cellular systems. The structure and behaviour of each simulation model distributed by BioModels Database are thoroughly checked; in addition, model elements are annotated with terms from controlled vocabularies as well as linked to relevant data resources. Models can be examined online or downloaded in various formats. Reaction network diagrams generated from the models are also available in several formats. BioModels Database also provides features such as online simulation and the extraction of components from large scale models into smaller submodels. Finally, the system provides a range of web services that external software systems can use to access up-to-date data from the database.

CONCLUSIONS

BioModels Database has become a recognised reference resource for systems biology. It is being used by the community in a variety of ways; for example, it is used to benchmark different simulation systems, and to study the clustering of models based upon their annotations. Model deposition to the database today is advised by several publishers of scientific journals. The models in BioModels Database are freely distributed and reusable; the underlying software infrastructure is also available from SourceForge https://sourceforge.net/projects/biomodels/ under the GNU General Public License.

摘要

背景

生化和细胞系统的定量模型用于回答生物科学中的各种问题。由于对模型使用的兴趣增加、改进的软件系统的开发以及更好、更便宜的计算机硬件的可用性,已发表的定量模型数量正在稳步增长。为了最大限度地利用这一不断增长的模型库带来的好处,该领域需要集中式模型存储库,以鼓励、促进和推动模型的传播和重用。理想情况下,存储在这些存储库中的模型应该经过广泛测试,并以社区支持的标准化格式进行编码。此外,模型及其组件应该与其他资源进行交叉引用,以便能够明确识别它们。

描述

生物模型数据库(http://www.ebi.ac.uk/biomodels/)旨在满足这些确切需求。它是一个可免费访问的在线资源,用于存储、查看、检索和分析已发表的、经过同行评审的生化和细胞系统定量模型。由生物模型数据库分发的每个模拟模型的结构和行为都经过了全面检查;此外,模型元素用来自受控词汇表的术语进行注释,并与相关数据资源链接。模型可以在线查看或下载为各种格式。从模型生成的反应网络图也有多种格式可供使用。生物模型数据库还提供诸如在线模拟以及将大规模模型中的组件提取到较小子模型等功能。最后,该系统提供了一系列网络服务,外部软件系统可以使用这些服务从数据库访问最新数据。

结论

生物模型数据库已成为系统生物学公认的参考资源。社区以多种方式使用它;例如,它用于对不同的模拟系统进行基准测试,并根据模型注释研究模型的聚类。如今,几家科学期刊的出版商建议将模型存入该数据库。生物模型数据库中的模型可免费分发和重用;基础软件基础设施也可在SourceForge(https://sourceforge.net/projects/biomodels/)上根据GNU通用公共许可证获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db95/2909940/aea4eca3dca1/1752-0509-4-92-1.jpg

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