• 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

通过综合知识管理进行转化安全评估的eTRANSAFE项目:成就与展望

The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives.

作者信息

Pognan François, Steger-Hartmann Thomas, Díaz Carlos, Blomberg Niklas, Bringezu Frank, Briggs Katharine, Callegaro Giulia, Capella-Gutierrez Salvador, Centeno Emilio, Corvi Javier, Drew Philip, Drewe William C, Fernández José M, Furlong Laura I, Guney Emre, Kors Jan A, Mayer Miguel Angel, Pastor Manuel, Piñero Janet, Ramírez-Anguita Juan Manuel, Ronzano Francesco, Rowell Philip, Saüch-Pitarch Josep, Valencia Alfonso, van de Water Bob, van der Lei Johan, van Mulligen Erik, Sanz Ferran

机构信息

Preclinical Safety/Translational Medicine, Novartis, 4057 Basel, Switzerland.

Pharmaceuticals, Investigational Toxicology, Bayer AG, 13342 Berlin, Germany.

出版信息

Pharmaceuticals (Basel). 2021 Mar 8;14(3):237. doi: 10.3390/ph14030237.

DOI:10.3390/ph14030237
PMID:33800393
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7999019/
Abstract

eTRANSAFE is a research project funded within the Innovative Medicines Initiative (IMI), which aims at developing integrated databases and computational tools (the eTRANSAFE ToxHub) that support the translational safety assessment of new drugs by using legacy data provided by the pharmaceutical companies that participate in the project. The project objectives include the development of databases containing preclinical and clinical data, computational systems for translational analysis including tools for data query, analysis and visualization, as well as computational models to explain and predict drug safety events.

摘要

eTRANSAFE是一个在创新药物计划(IMI)框架内资助的研究项目,其目标是开发综合数据库和计算工具(eTRANSAFE毒理学中心),通过使用参与该项目的制药公司提供的遗留数据来支持新药的转化安全性评估。该项目的目标包括开发包含临床前和临床数据的数据库、用于转化分析的计算系统(包括数据查询、分析和可视化工具)以及用于解释和预测药物安全事件的计算模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/3cc146b61397/pharmaceuticals-14-00237-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/fc0f90cadf2d/pharmaceuticals-14-00237-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/639cb018d7e0/pharmaceuticals-14-00237-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/53820c60496f/pharmaceuticals-14-00237-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/7e0ef24c1193/pharmaceuticals-14-00237-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/bbe83b9b55c5/pharmaceuticals-14-00237-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/8e3eeca6da36/pharmaceuticals-14-00237-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/659499ae228a/pharmaceuticals-14-00237-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/8ac56f77987f/pharmaceuticals-14-00237-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/b531fc933312/pharmaceuticals-14-00237-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/3cc146b61397/pharmaceuticals-14-00237-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/fc0f90cadf2d/pharmaceuticals-14-00237-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/639cb018d7e0/pharmaceuticals-14-00237-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/53820c60496f/pharmaceuticals-14-00237-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/7e0ef24c1193/pharmaceuticals-14-00237-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/bbe83b9b55c5/pharmaceuticals-14-00237-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/8e3eeca6da36/pharmaceuticals-14-00237-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/659499ae228a/pharmaceuticals-14-00237-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/8ac56f77987f/pharmaceuticals-14-00237-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/b531fc933312/pharmaceuticals-14-00237-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be1/7999019/3cc146b61397/pharmaceuticals-14-00237-g010.jpg

相似文献

1
The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives.通过综合知识管理进行转化安全评估的eTRANSAFE项目:成就与展望
Pharmaceuticals (Basel). 2021 Mar 8;14(3):237. doi: 10.3390/ph14030237.
2
Inroads to predict in vivo toxicology-an introduction to the eTOX Project.预测体内毒理学的进展——eTOX项目介绍
Int J Mol Sci. 2012;13(3):3820-3846. doi: 10.3390/ijms13033820. Epub 2012 Mar 21.
3
Guidelines for FAIR sharing of preclinical safety and off-target pharmacology data.临床前安全性和非预期药理学数据的 FAIR 共享指南。
ALTEX. 2021;38(2):187-197. doi: 10.14573/altex.2011181. Epub 2021 Feb 25.
4
eTRANSAFE: Building a sustainable framework to share reproducible drug safety knowledge with the public domain.eTRANSAFE:建立一个可持续的框架,与公共领域共享可重复使用的药物安全知识。
F1000Res. 2022 Mar 7;11. doi: 10.12688/f1000research.74024.1. eCollection 2022.
5
Improving the Safety Assessment of Chemicals and Drug Candidates by the Integration of Bioinformatics and Chemoinformatics Data.通过整合生物信息学和化学信息学数据来提高化学品和药物候选物的安全性评估。
Basic Clin Pharmacol Toxicol. 2018 Sep;123 Suppl 5:29-36. doi: 10.1111/bcpt.12956. Epub 2018 Feb 6.
6
The eTOX data-sharing project to advance in silico drug-induced toxicity prediction.推进计算机模拟药物诱导毒性预测的eTOX数据共享项目。
Int J Mol Sci. 2014 Nov 14;15(11):21136-54. doi: 10.3390/ijms151121136.
7
Hurdles and signposts on the road to virtual control groups-A case study illustrating the influence of anesthesia protocols on electrolyte levels in rats.通往虚拟对照组之路上的障碍与路标——一项说明麻醉方案对大鼠电解质水平影响的案例研究
Front Pharmacol. 2023 Apr 20;14:1142534. doi: 10.3389/fphar.2023.1142534. eCollection 2023.
8
Legacy data sharing to improve drug safety assessment: the eTOX project.遗留数据共享以改进药物安全评估:eTOX 项目。
Nat Rev Drug Discov. 2017 Dec;16(12):811-812. doi: 10.1038/nrd.2017.177. Epub 2017 Oct 13.
9
The innovative medicines initiative: a public private partnership model to foster drug discovery.创新药物倡议:一种公私合作伙伴关系模式,以促进药物发现。
Comput Struct Biotechnol J. 2013 Nov 27;6:e201303017. doi: 10.5936/csbj.201303017. eCollection 2013.
10
Leveraging Oral Drug Development to a Next Level: Impact of the IMI-Funded OrBiTo Project on Patient Healthcare.将口服药物开发提升到新高度:IMI资助的OrBiTo项目对患者医疗保健的影响。
Front Med (Lausanne). 2021 Mar 5;8:480706. doi: 10.3389/fmed.2021.480706. eCollection 2021.

引用本文的文献

1
Mapping between clinical and preclinical terminologies: eTRANSAFE's Rosetta stone approach.临床术语与临床前术语之间的映射:eTRANSAFE的罗塞塔石碑方法。
J Biomed Semantics. 2025 Aug 21;16(1):15. doi: 10.1186/s13326-025-00337-2.
2
PretoxTM: a text mining system for extracting treatment-related findings from preclinical toxicology reports.PretoxTM:一种用于从临床前毒理学报告中提取治疗相关发现的文本挖掘系统。
J Cheminform. 2025 Feb 3;17(1):15. doi: 10.1186/s13321-024-00925-x.
3
Prediction Intervals for Overdispersed Poisson Data and Their Application in Medical and Pre-Clinical Quality Control.

本文引用的文献

1
An ensemble learning approach for modeling the systems biology of drug-induced injury.一种用于药物诱导损伤系统生物学建模的集成学习方法。
Biol Direct. 2021 Jan 12;16(1):5. doi: 10.1186/s13062-020-00288-x.
2
Moving towards a holistic approach for human health risk assessment - Is the current approach fit for purpose?迈向人类健康风险评估的整体方法——当前方法是否适用?
EFSA J. 2019 Jul 8;17(Suppl 1):e170711. doi: 10.2903/j.efsa.2019.e170711. eCollection 2019 Jul.
3
Introducing the concept of virtual control groups into preclinical toxicology testing.
过度分散泊松数据的预测区间及其在医学和临床前质量控制中的应用。
Pharm Stat. 2025 Mar-Apr;24(2):e2447. doi: 10.1002/pst.2447. Epub 2024 Oct 30.
4
Cross study analyses of SEND data: toxicity profile classification.SEND 数据的交叉研究分析:毒性谱分类。
Toxicol Sci. 2024 Aug 1;200(2):277-286. doi: 10.1093/toxsci/kfae072.
5
Mining Real-World Big Data to Characterize Adverse Drug Reaction Quantitatively: Mixed Methods Study.挖掘真实世界大数据以定量表征药物不良反应:混合方法研究
J Med Internet Res. 2024 May 3;26:e48572. doi: 10.2196/48572.
6
Drug review process advancement and required manufacturer and contract research oraganization responses.药品审评流程进展以及制药商和合同研究组织所需的回应。
J Toxicol Pathol. 2024 Apr;37(2):45-53. doi: 10.1293/tox.2023-0106. Epub 2023 Nov 22.
7
ELIXIR and Toxicology: a community in development.ELIXIR 和毒理学:一个不断发展的社区。
F1000Res. 2023 Oct 3;10. doi: 10.12688/f1000research.74502.2. eCollection 2021.
8
CSL-Tox: an open-source analytical framework for the comparison of short-term and long-term toxicity end points and assessing the need of chronic studies in drug development.CSL-Tox:一个用于比较短期和长期毒性终点以及评估药物开发中慢性研究必要性的开源分析框架。
Sci Rep. 2023 Sep 8;13(1):14865. doi: 10.1038/s41598-023-41899-4.
9
Identifying Differences in the Performance of Machine Learning Models for Off-Targets Trained on Publicly Available and Proprietary Data Sets.识别基于公开可用数据集和专有数据集训练的针对脱靶的机器学习模型性能的差异。
Chem Res Toxicol. 2023 Aug 21;36(8):1300-1312. doi: 10.1021/acs.chemrestox.3c00042. Epub 2023 Jul 13.
10
eTRANSAFE: data science to empower translational safety assessment.eTRANSAFE:助力转化性安全评估的数据科学
Nat Rev Drug Discov. 2023 Aug;22(8):605-606. doi: 10.1038/d41573-023-00099-5.
引入虚拟对照组概念于临床前毒理学测试中。
ALTEX. 2020;37(3):343-349. doi: 10.14573/altex.2001311. Epub 2020 Mar 31.
4
The exposome and health: Where chemistry meets biology.外核组学与健康:化学与生物学的交汇
Science. 2020 Jan 24;367(6476):392-396. doi: 10.1126/science.aay3164.
5
Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.管理药物性肝损伤的挑战:开发和应用临床前预测模型的路线图。
Nat Rev Drug Discov. 2020 Feb;19(2):131-148. doi: 10.1038/s41573-019-0048-x. Epub 2019 Nov 20.
6
Predictive modelling using pathway scores: robustness and significance of pathway collections.基于通路评分的预测模型:通路集合的稳健性和显著性。
BMC Bioinformatics. 2019 Nov 4;20(1):543. doi: 10.1186/s12859-019-3163-0.
7
ChEMBL: towards direct deposition of bioassay data.ChEMBL:致力于直接生成生物测定数据。
Nucleic Acids Res. 2019 Jan 8;47(D1):D930-D940. doi: 10.1093/nar/gky1075.
8
A big data approach to the concordance of the toxicity of pharmaceuticals in animals and humans.一种大数据方法,用于研究动物和人类药物毒性的一致性。
Regul Toxicol Pharmacol. 2018 Jul;96:94-105. doi: 10.1016/j.yrtph.2018.04.018. Epub 2018 May 3.
9
Legacy data sharing to improve drug safety assessment: the eTOX project.遗留数据共享以改进药物安全评估:eTOX 项目。
Nat Rev Drug Discov. 2017 Dec;16(12):811-812. doi: 10.1038/nrd.2017.177. Epub 2017 Oct 13.
10
Toxicogenomic module associations with pathogenesis: a network-based approach to understanding drug toxicity.毒理基因组模块与发病机制的关联:一种基于网络的理解药物毒性的方法。
Pharmacogenomics J. 2018 May 22;18(3):377-390. doi: 10.1038/tpj.2017.17. Epub 2017 Apr 25.