Knowledge Base and Portal

知识库和门户

• 批准号: 10676276
• 负责人: Lang Li
• 金额: $ 96.46万
• 依托单位: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-10 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10676276
• 关键词: 7alpha hydroxylase; ABCB1 gene; Academia; Acceleration; Active Learning; Adult; Affect; American; Animals; Artificial Intelligence; Birth; Body Water; CYP1A2 gene; CYP2C19 gene; CYP2C9 gene; CYP2D6 gene; CYP3A4 gene; CYP3A5 gene; Child; Childhood; Classification; Clinical Research; Clinical Trials; Clinical Trials Design; Collaborations; Common Data Element; Communities; Cytochrome P450; Data; Data Sources; Dehydroepiandrosterone Sulfate; Development; Devices; Disease; Dose; Drug Kinetics; Drug Metabolic Detoxication; Drug Receptors; Drug toxicity; Education; Enzymes; Excretory function; Fathers; Fetal Liver; Fetus; Glucuronosyltransferase; Growth; Human; Indiana; Industry; Infant; Isoenzymes; Kidney; Knowledge; Knowledge Portal; Lactation; Literature; Location; Maternal Physiology; Metabolism; Modeling; Ohio; Ontology; Pediatrics; Performance; Pharmaceutical Preparations; Pharmacodynamics; Pharmacoepidemiology; Pharmacogenetics; Pharmacogenomics; Pharmacology; Pharmacology and Toxicology; Pharmacotherapy; Phase; Physiological; Population; Pregnancy; Process; Property; Protein Isoforms; Publishing; Reporting; Research; Research Priority; Resources; Retinoids; Sample Size; Tablets; Technology; Teratogens; Text; Therapeutic; Therapeutic Research; Training; Translational Research; Tubular formation; Universities; Uridine Diphosphate; Visualization software; Woman; Work; absorption; classification algorithm; clinical investigation; data access; data curation; data dissemination; data mining; data portal; data sharing; data visualization; deep learning; disability; drug clearance; drug development; drug disposition; drug distribution; drug efficacy; drug metabolism; extracellular; gender difference; graphical user interface; improved; innovation; knowledge base; knowledgebase; men; neonate; novel; ontology development; open source; outreach; pediatric patients; pharmacometrics; portability; pregnant; research and development; response; web portal

Summary (Knowledgebase and Portal Core) The Knowledgebase and Portal Core (KPC) of the Indiana University-Ohio State University Maternal and Pediatric Precision in Therapeutics Data, Model, Knowledge, and Research Coordination Center (IU-OSU MPRINT DMKRCC) will develop a knowledgebase and web portal of data and resources relating to maternal and pediatric therapeutics. The KPC will collaborate with Pharmacometrics and Clinical Trial Design Core, Real- World Evidence Core, and other collaborators to support common data elements and ontology development, knowledgebase construction, and web portal development. The Aims of the KPC will be 1) to develop common data elements and ontology for annotating pharmacology data in children and pregnant/lactating women, including those with disabilities; (2) Develop text classification algorithms to identify published literature in pediatric and pregnant/lactating women; (3) Integrate various data sources relating to pharmacokinetics, pharmacodynamics, pharmacogenetics, pediatric ontogeny and the physiological changes that occur with and around pregnancy and lactation that influence drug metabolism, distribution, and drug response; pharmacogenomics, pharmacometrics modeling; and drug toxicity and efficacy in maternal and pediatric populations; (4) Develop a data portal for knowledge data sharing and dissemination. The KPC will work with the MPRINT Hub Steering Committee to set research priorities and milestones and with the Outreach, Dissemination and Training Core to disseminate results and provide education on pharmacometric approaches applied to maternal and pediatric therapeutic research.

摘要（知识库和门户核心） 印第安纳大学 - 俄亥俄州立大学母亲的知识库和门户核心（KPC） 治疗数据，模型，知识和研究协调中心（IU-OSU）的小儿精度 mprint dmkrcc）将开发与母亲有关的数据和资源的知识库和网络门户 和小儿疗法。 KPC将与药物计量学和临床试验设计核心合作，现实 世界证据核心和其他合作者支持共同的数据要素和本体论的发展， 知识库构建和Web门户开发。 KPC的目的是1） 用于注释儿童和孕妇的药理学数据的数据元素和本体， 包括残疾人； （2）开发文本分类算法以识别已发表的文献 小儿和孕妇妇女； （3）整合了与药代动力学有关的各种数据源， 药效学，药物遗传学，小儿个体发育以及随随之而来的生理变化 在妊娠和泌乳附近影响药物代谢，分布和药物反应； 药物基因组学，药物计量学建模；以及孕产妇和小儿的药物毒性和功效 人口； （4）为知识数据共享和传播开发数据门户。 KPC将与 MPRINT中心指导委员会设定研究优先事项和里程碑，并在外展活动中 传播和训练核心以传播结果并提供有关药物测量方法的教育 应用于母亲和小儿治疗研究。