• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Tellurium notebooks—用于系统生物学中可重复动态建模的环境。

Tellurium notebooks-An environment for reproducible dynamical modeling in systems biology.

机构信息

Department of Bioengineering, University of Washington, Seattle, Washington, United States of America.

Institute for Theoretical Biology, Humboldt University of Berlin, Berlin, Germany.

出版信息

PLoS Comput Biol. 2018 Jun 15;14(6):e1006220. doi: 10.1371/journal.pcbi.1006220. eCollection 2018 Jun.

DOI:10.1371/journal.pcbi.1006220
PMID:29906293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6021116/
Abstract

The considerable difficulty encountered in reproducing the results of published dynamical models limits validation, exploration and reuse of this increasingly large biomedical research resource. To address this problem, we have developed Tellurium Notebook, a software system for model authoring, simulation, and teaching that facilitates building reproducible dynamical models and reusing models by 1) providing a notebook environment which allows models, Python code, and narrative to be intermixed, 2) supporting the COMBINE archive format during model development for capturing model information in an exchangeable format and 3) enabling users to easily simulate and edit public COMBINE-compliant models from public repositories to facilitate studying model dynamics, variants and test cases. Tellurium Notebook, a Python-based Jupyter-like environment, is designed to seamlessly inter-operate with these community standards by automating conversion between COMBINE standards formulations and corresponding in-line, human-readable representations. Thus, Tellurium brings to systems biology the strategy used by other literate notebook systems such as Mathematica. These capabilities allow users to edit every aspect of the standards-compliant models and simulations, run the simulations in-line, and re-export to standard formats. We provide several use cases illustrating the advantages of our approach and how it allows development and reuse of models without requiring technical knowledge of standards. Adoption of Tellurium should accelerate model development, reproducibility and reuse.

摘要

在重现已发表动力学模型的结果时遇到了相当大的困难,这限制了对这一日益庞大的生物医学研究资源的验证、探索和再利用。为了解决这个问题,我们开发了 Tellurium Notebook,这是一个用于模型创作、模拟和教学的软件系统,通过以下方式促进可重现动力学模型的构建和模型的重用:1)提供一个笔记本环境,允许模型、Python 代码和叙述混合在一起,2)在模型开发过程中支持 COMBINE 存档格式,以便以可交换的格式捕获模型信息,3)使用户能够轻松模拟和编辑来自公共存储库的公共 COMBINE 兼容模型,以方便研究模型动态、变体和测试用例。Tellurium Notebook 是一个基于 Python 的 Jupyter 风格的环境,旨在通过在 COMBINE 标准公式和相应的内联、人类可读表示之间自动转换,与这些社区标准无缝协作。因此,Tellurium 将其他文学笔记本系统(如 Mathematica)所使用的策略引入到系统生物学中。这些功能允许用户编辑符合标准的模型和模拟的各个方面,在线运行模拟,并重新导出到标准格式。我们提供了几个用例来说明我们的方法的优势,以及它如何允许在不要求了解标准的技术知识的情况下开发和重用模型。采用 Tellurium 应该会加速模型的开发、可重现性和重用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/f2030892da5f/pcbi.1006220.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/d366ae57f796/pcbi.1006220.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/00ac5157c694/pcbi.1006220.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/eb53e205860a/pcbi.1006220.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/e6efdad46b3d/pcbi.1006220.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/45b547373b1a/pcbi.1006220.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/f2030892da5f/pcbi.1006220.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/d366ae57f796/pcbi.1006220.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/00ac5157c694/pcbi.1006220.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/eb53e205860a/pcbi.1006220.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/e6efdad46b3d/pcbi.1006220.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/45b547373b1a/pcbi.1006220.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06c4/6021116/f2030892da5f/pcbi.1006220.g006.jpg

相似文献

1
Tellurium notebooks-An environment for reproducible dynamical modeling in systems biology.Tellurium notebooks—用于系统生物学中可重复动态建模的环境。
PLoS Comput Biol. 2018 Jun 15;14(6):e1006220. doi: 10.1371/journal.pcbi.1006220. eCollection 2018 Jun.
2
Tellurium: An extensible python-based modeling environment for systems and synthetic biology.碲:一个基于Python的用于系统生物学和合成生物学的可扩展建模环境。
Biosystems. 2018 Sep;171:74-79. doi: 10.1016/j.biosystems.2018.07.006. Epub 2018 Jul 25.
3
Best Practices for Making Reproducible Biochemical Models.构建可重复生化模型的最佳实践
Cell Syst. 2020 Aug 26;11(2):109-120. doi: 10.1016/j.cels.2020.06.012.
4
Standards, dissemination, and best practices in systems biology.系统生物学中的标准、传播和最佳实践。
Curr Opin Biotechnol. 2023 Jun;81:102922. doi: 10.1016/j.copbio.2023.102922. Epub 2023 Mar 31.
5
Guidelines for Reproducibly Building and Simulating Systems Biology Models.可重复构建和模拟系统生物学模型的指南。
IEEE Trans Biomed Eng. 2016 Oct;63(10):2015-20. doi: 10.1109/TBME.2016.2591960. Epub 2016 Jul 18.
6
The systems biology simulation core library.系统生物学模拟核心库。
Bioinformatics. 2022 Jan 12;38(3):864-865. doi: 10.1093/bioinformatics/btab669.
7
SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research.SimpleITK 图像分析笔记本:用于教育和可重复研究的协作环境。
J Digit Imaging. 2018 Jun;31(3):290-303. doi: 10.1007/s10278-017-0037-8.
8
Reproducible Research Using Biomodels.生物模型的可重复性研究。
Bull Math Biol. 2018 Dec;80(12):3081-3087. doi: 10.1007/s11538-018-0498-z. Epub 2018 Sep 6.
9
Computational reproducibility of Jupyter notebooks from biomedical publications.生物医学出版物中 Jupyter 笔记本的计算可重复性。
Gigascience. 2024 Jan 2;13. doi: 10.1093/gigascience/giad113.
10
The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks.CoLoMoTo交互式笔记本:用于定性生物网络的可访问且可重现的计算分析
Front Physiol. 2018 Jun 19;9:680. doi: 10.3389/fphys.2018.00680. eCollection 2018.

引用本文的文献

1
From FAIR to CURE: Guidelines for Computational Models of Biological Systems.从FAIR到CURE:生物系统计算模型指南。
ArXiv. 2025 Feb 21:arXiv:2502.15597v1.
2
Curating models from BioModels: Developing a workflow for creating OMEX files.从生物模型库精选模型:开发创建OMEX文件的工作流程。
PLoS One. 2024 Dec 5;19(12):e0314875. doi: 10.1371/journal.pone.0314875. eCollection 2024.
3
Generating synthetic signaling networks for in silico modeling studies.生成用于计算机建模研究的合成信号网络。

本文引用的文献

1
An empirical analysis of journal policy effectiveness for computational reproducibility.期刊政策对计算可重复性影响的实证分析。
Proc Natl Acad Sci U S A. 2018 Mar 13;115(11):2584-2589. doi: 10.1073/pnas.1708290115. Epub 2018 Mar 12.
2
SBML Level 3 Package: Flux Balance Constraints version 2.系统生物学标记语言第3级包:通量平衡约束第2版。
J Integr Bioinform. 2018 Mar 9;15(1):20170082. doi: 10.1515/jib-2017-0082.
3
Compartmental and Spatial Rule-Based Modeling with Virtual Cell.基于虚拟细胞的基于隔室和空间规则的建模。
J Theor Biol. 2024 Oct 7;593:111901. doi: 10.1016/j.jtbi.2024.111901. Epub 2024 Jul 14.
4
An Update to the SBML Human-Readable Antimony Language.SBML人类可读锑语言的更新。
ArXiv. 2024 May 23:arXiv:2405.15109v1.
5
SBMLToolkit.jl: a Julia package for importing SBML into the SciML ecosystem.SBMLToolkit.jl:一个用于将SBML导入SciML生态系统的Julia包。
J Integr Bioinform. 2024 May 28;21(1). doi: 10.1515/jib-2024-0003. eCollection 2024 Mar 1.
6
Curating models from BioModels: Developing a workflow for creating OMEX files.从生物模型库中精选模型:开发创建OMEX文件的工作流程。
bioRxiv. 2024 Nov 6:2024.03.15.585236. doi: 10.1101/2024.03.15.585236.
7
Use of interactive mathematical simulations in Fundamentals of Biochemistry, a LibreText online educational resource, to promote understanding of dynamic reactions.在基础生物化学的 LibreText 在线教育资源中使用交互式数学模拟来促进对动态反应的理解。
Biochem Mol Biol Educ. 2024 Jul-Aug;52(4):426-435. doi: 10.1002/bmb.21830. Epub 2024 Mar 22.
8
Catalyst: Fast and flexible modeling of reaction networks.催化剂:反应网络的快速灵活建模。
PLoS Comput Biol. 2023 Oct 18;19(10):e1011530. doi: 10.1371/journal.pcbi.1011530. eCollection 2023 Oct.
9
SBcoyote: An Extensible Python-Based Reaction Editor and Viewer.SBcoyote:一个基于Python的可扩展反应编辑器和查看器。
ArXiv. 2023 Aug 14:arXiv:2302.09151v2.
10
Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT.使用 GPT 从自然语言文本自动生成 SBML 动力学模型
Int J Mol Sci. 2023 Apr 14;24(8):7296. doi: 10.3390/ijms24087296.
Biophys J. 2017 Oct 3;113(7):1365-1372. doi: 10.1016/j.bpj.2017.08.022.
4
The GenePattern Notebook Environment.基因表达谱分析工作簿环境。
Cell Syst. 2017 Aug 23;5(2):149-151.e1. doi: 10.1016/j.cels.2017.07.003. Epub 2017 Aug 16.
5
Metabolic regulation is sufficient for global and robust coordination of glucose uptake, catabolism, energy production and growth in Escherichia coli.代谢调控足以实现大肠杆菌中葡萄糖摄取、分解代谢、能量产生及生长的全局且稳健的协调。
PLoS Comput Biol. 2017 Feb 10;13(2):e1005396. doi: 10.1371/journal.pcbi.1005396. eCollection 2017 Feb.
6
The JWS online simulation database.JWS在线模拟数据库。
Bioinformatics. 2017 May 15;33(10):1589-1590. doi: 10.1093/bioinformatics/btw831.
7
SED-ML web tools: generate, modify and export standard-compliant simulation studies.SED-ML网络工具:生成、修改和导出符合标准的模拟研究。
Bioinformatics. 2017 Apr 15;33(8):1253-1254. doi: 10.1093/bioinformatics/btw812.
8
Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist.随机模拟服务:弥合计算专家与生物学家之间的差距。
PLoS Comput Biol. 2016 Dec 8;12(12):e1005220. doi: 10.1371/journal.pcbi.1005220. eCollection 2016 Dec.
9
A fully featured COMBINE archive of a simulation study on syncytial mitotic cycles in embryos.一个关于胚胎中合胞体有丝分裂周期的模拟研究的功能齐全的COMBINE存档。
F1000Res. 2016 Sep 29;5:2421. doi: 10.12688/f1000research.9379.1. eCollection 2016.
10
phraSED-ML: A paraphrased, human-readable adaptation of SED-ML.phraSED-ML:SED-ML的一种经过释义的、人类可读的改编形式。
J Bioinform Comput Biol. 2016 Dec;14(6):1650035. doi: 10.1142/S0219720016500359. Epub 2016 Sep 30.