Reactome: An Open Knowledgebase of Human Pathways.

Reactome：人类通路的开放知识库。

• 批准号: 10685940
• 负责人: PETER G DEUSTACHIO
• 金额: $ 153.34万
• 依托单位: ONTARIO INSTITUTE FOR CANCER RESEARCH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-18 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10685940
• 关键词: Adoption; Biological; Biological Process; Clinical Research; Code; Collaborations; Communities; Controlled Vocabulary; Data; Data Analyses; Data Science; Data Scientist; Databases; Dedications; Development; Disease; Disease Pathway; Doctor of Philosophy; Ensure; Feedback; Funding; Genes; Genetic Variation; Genomics; Growth; Human; Infection; Infrastructure; Knowledge Discovery; Lead; Literature; Machine Learning; Malignant Neoplasms; Manuals; Mining; Modeling; Molecular; Ontology; Pathologic Processes; Pathway Analysis; Pathway interactions; Peer Review; Pharmaceutical Preparations; Physiological Processes; Process; Proteins; Proteomics; Publications; Reaction; Readability; Research; Research Personnel; Resources; Scientist; Software Tools; Students; System; Technology; Tissues; Translational Research; United States National Institutes of Health; Update; Visualization software; Work; biological research; cell type; computerized tools; computing resources; data modeling; data visualization; drug discovery; experience; gene product; graph database; improved; interoperability; knowledge graph; knowledgebase; member; migration; novel strategies; open data; open source; outreach; predictive modeling; protein function; repository; screening; tool; web platform; web site

Project Summary/Abstract We seek renewal of the core operating funding for The Reactome Knowledgebase. Reactome is a manually curated, peer-reviewed open access biological pathway knowledgebase that can be publicly used and redistributed by all biological research community members. The Reactome knowledgebase is used by academic, nonprofit and for-profit entities worldwide. Specifically, Reactome is employed by genomics and proteomics researchers, clinicians, geneticists, and molecular biologists to interpret the results of large-scale omics screening projects, by data scientists and bioinformaticians to develop novel approaches for knowledge discovery and mining, and by systems biologists to build predictive models of normal and disease pathways for drug discovery. Our curators, PhD-level scientists, work closely with independent investigators within the community to assemble human- and machine-readable descriptions of human biological pathways manually using dedicated software tools. Each pathway is checked and peer-reviewed prior to publication to ensure its factual accuracy and compliance with the data model. A system of evidence tracking ensures that all assertions are supported by the primary literature. Reactome uses community-standard controlled vocabularies and ontologies to increase interoperability across resources. Pathways are reviewed and updated regularly. Reactome pathways are available on our web site for browsing, downloading, and manipulation by in-house and third-party online analysis tools. The project is highly cited in the literature, has been used repeatedly to make significant biological discoveries, and is incorporated into a large number of high-impact computational tools and resources. Over the next five years, we will: (1) efficiently curate normal and disease processes, and effects of genetic variation and drugs on protein function; (2) improve pathway data analysis and input tools to increase the curation efficiency and the utility of Reactome data in large-scale biological data science projects; (3) enhance the open Reactome platform; and (4) conduct active outreach efforts to facilitate user engagement, community feedback, and adoption of Reactome.

项目总结/文摘