کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8538771 | 1561119 | 2018 | 49 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
AOP-DB: A database resource for the exploration of Adverse Outcome Pathways through integrated association networks
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کلمات کلیدی
ToxCastMOAICSSHIF-1αMIEOECDComparative Toxicogenomics DatabaseCTDNCBIDSSToxAOPACh - آهAChE - آهیRisk assessment - ارزیابی ریسکAcetylcholine - استیل کولینAcetylcholinesterase - استیل کولین استرازDatabase - بانک اطلاعاتی، دادِگان یا دِیتابِیسMode of action - حالت عملData mining - دادهکاویKEGG یا Kyoto Encyclopedia of Genes and Genomes - دایرة المعارف ژن ها و ژنوم کیوتو Kyoto Encyclopedia of Genes and Genomes - دایره المعارف ژنتیک ژن ها و ژنوم کیوتوmolecular initiating event - رویداد آغازین مولکولیKey event - رویداد کلیدیOrganization for Economic Co-operation and Development - سازمان همکاری و توسعه اقتصادیhypoxia-inducible factor 1-alpha - عامل القایی هیپوکسی 1-آلفاNational Center for Biotechnology Information - مرکز ملی اطلاعات بیوتکنولوژیadverse outcome pathway - مسیر ناخوشایندAdverse outcome - نتیجه منفیAndrogen Receptor - گیرنده آندروژنیEstrogen receptor - گیرنده استروژنData integration - یکپارچه سازی داده ها
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم محیط زیست
بهداشت، سم شناسی و جهش زایی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The Adverse Outcome Pathway (AOP) framework describes the progression of a toxicity pathway from molecular perturbation to population-level outcome in a series of measurable, mechanistic responses. The controlled, computer-readable vocabulary that defines an AOP has the ability to, automatically and on a large scale, integrate AOP knowledge with publically available sources of biological high-throughput data and its derived associations. To support the discovery and development of putative (existing) and potential AOPs, we introduce the AOP-DB, an exploratory database resource that aggregates association relationships between genes and their related chemicals, diseases, pathways, species orthology information, ontologies, and gene interactions. These associations are mined from publically available annotation databases and are integrated with the AOP information centralized in the AOP-Wiki, allowing for the automatic characterization of both putative and potential AOPs in the context of multiple areas of biological information, referred to here as “biological entities”. The AOP-DB acts as a hypothesis-generation tool for the expansion of putative AOPs, as well as the characterization of potential AOPs, through the creation of association networks across these biological entities. Finally, the AOP-DB provides a useful interface between the AOP framework and existing chemical screening and prioritization efforts by the US Environmental Protection Agency.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Toxicology and Applied Pharmacology - Volume 343, 15 March 2018, Pages 71-83
Journal: Toxicology and Applied Pharmacology - Volume 343, 15 March 2018, Pages 71-83
نویسندگان
Maureen E. Pittman, Stephen W. Edwards, Cataia Ives, Holly M. Mortensen,