Comparative toxicogenomics database's 20th anniversary: update 2025.

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nucleic Acids Research Pub Date : 2024-10-10 DOI:10.1093/nar/gkae883
Allan Peter Davis, Thomas C Wiegers, Daniela Sciaky, Fern Barkalow, Melissa Strong, Brent Wyatt, Jolene Wiegers, Roy McMorran, Sakib Abrar, Carolyn J Mattingly
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Abstract

For 20 years, the Comparative Toxicogenomics Database (CTD; https://ctdbase.org) has provided high-quality, literature-based curated content describing how environmental chemicals affect human health. Today, CTD includes over 94 million toxicogenomic connections relating chemicals, genes/proteins, phenotypes, anatomical terms, diseases, comparative species, pathways and exposures. In this 20th year anniversary update, we reflect on CTD's remarkable growth and provide an overview of the increased data content and new features, including enhancements to the curation workflow (e.g. new exposure curation tool and expanded use of natural language processing), added functionality (e.g. improvements to CTD Tetramers and Pathway View tools) and significant upgrades to software and infrastructure. Linking lab-based core curation with real-world human exposure curation via the use of controlled vocabularies facilitates analysis of content across the entire environmental health continuum, from molecular toxicological mechanisms to the population level, and vice versa. The 'prototype database' originally described in 2004 has evolved into a premier, sophisticated, highly cited and well-engineered knowledgebase and discoverybase that is utilized by scientists worldwide to design testable hypotheses about environmental health.

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比较毒物基因组学数据库 20 周年:2025 年更新。
20 年来,比较毒物基因组学数据库(CTD; https://ctdbase.org)一直在提供高质量的、基于文献的、描述环境化学品如何影响人类健康的内容。如今,比较毒物基因组学数据库已收录了 9,400 多万条与化学品、基因/蛋白、表型、解剖术语、疾病、比较物种、途径和暴露相关的毒物基因组学联系。在这篇 20 周年纪念更新中,我们回顾了 CTD 的显著增长,并概述了增加的数据内容和新功能,包括增强的策展工作流程(如新的暴露策展工具和自然语言处理的扩大使用)、增加的功能(如 CTD 四聚体和路径视图工具的改进)以及软件和基础设施的重大升级。通过使用受控词汇表,将基于实验室的核心资料整理与真实世界的人类暴露资料整理联系起来,有助于分析从分子毒理学机制到人群水平的整个环境健康连续体的内容,反之亦然。最初于 2004 年描述的 "原型数据库 "已经发展成为一个主要的、复杂的、被高度引用和精心设计的知识库和发现库,全世界的科学家都在利用它来设计有关环境健康的可检验假设。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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