Knowledge Base and Portal

知识库和门户

• 批准号: 10309156
• 负责人: Lang Li
• 金额: $ 67.34万
• 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/10309156
• 关键词: ABCB1 gene; Academia; 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; Common Data Element; Communities; Conflict (Psychology); Cytochrome P450; Data; Data Sources; Dehydroepiandrosterone Sulfate; Development; Devices; Disease; Dose; Drug Kinetics; 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; Retinoids; Sample Size; Tablets; Technology; Teratogens; Text; Therapeutic; Therapeutic Human Experimentation; 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 resource; 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; 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-俄亥俄州立大学母校的知识库和门户核心(KPC) 儿科治疗数据、模型、知识和研究协调中心 MPRINT DMKRCC)将开发一个与孕产妇有关的数据和资源的知识库和门户网站 和儿科治疗学。KPC将与药物计量学和临床试验设计核心公司Real- World Evience Core和其他合作者支持公共数据元素和本体开发， 知识库建设、门户网站开发。科索沃保护团的目标将是1)发展共同 用于注释儿童和孕妇/哺乳期妇女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，以识别出版的文献 儿科和孕妇/哺乳期妇女；(3)整合与药代动力学有关的各种数据源， 药效学、药物遗传学、儿科个体发生学以及与 妊娠和哺乳期影响药物代谢、分布和药物反应的因素； 药物基因组学，药物计量学模型；母儿药物毒性和疗效 (4)建立知识数据共享和传播的数据门户。科索沃保护团将与 MPRINT中心指导委员会，以确定研究优先事项和里程碑，并与外联一起， 传播和培训核心，传播成果并提供关于药物计量学方法的教育 适用于母儿治疗研究。