Saturday, December 21, 2024
12/21/2024
PROJECT SUMMARY/ABSTRACT UniProt is one of the foundational resources for understanding the molecular details of the inner life of the cell. As a hub for knowledge of protein sequence and function, UniProt organizes knowledge from biomedical literature, integrates datasets with curated knowledge, and serves as an exemplar FAIR and TRUST resource reused by hundreds of other data resources. The Common Fund (CF) program brings together diverse collections of valuable biomedical data, yet still needs to be connected with the major data repositories ecosystem to uncover its full potential for discovery and innovation. In this application we will strengthen the protein-centric connectivity of UniProt to multiple CF Data Coordinating Centers (DCCs) and the Data Resource Center (DRC) in the Common Fund Data Ecosystem (CFDE), and will collaborate with two CF DCCs, the Knockout Mouse Phenotyping Program (KOMP2) and the Cell Maps for AI (CM4AI) Project of the Bridge to Artificial Intelligence (Bridge2AI) Program. The collaboration will support CFDE data integration and reuse, while building new capabilities to interrogate and understand complex biological systems and cell networks for deeper understanding of responses to perturbations at the systems level. To foster biomedical discovery through the re- use of CF data and enable novel scientific research that was not possible before, we will increase the connectivity and data integration between UniProt and CF datasets. We will create a new form-based mechanism to link with CF data resources, starting with several already identified for targeted integration. We will extend the UniProt mapping service, allowing researchers to identify data of interest through protein-centric search and promote interoperability at the protein level across the CF ecosystem. We will develop new tools, APIs and workflows with easy access and navigation for researchers to interrogate and understand complex biological systems and cell networks. It will allow seamless bidirectional navigation of data from whole subcellular systems to functional pathways and interacting proteins and vice versa. We will hold annual workshops to broaden collaborations with the CFDE and engagement with the research community. We will incorporate user feedback throughout the tool development lifecycle and implement an integration plan with the CFDE for dissemination and long-term sustainability. We aim to understand systems-level responses to perturbations through genotype-phenotype mapping and metabolic and signaling network discovery. We will integrate relevant datasets, tools, and literature and extend our knowledge graph learning algorithm for link prediction in a drug discovery use case. We will build customized knowledge graphs with various use scenarios, incorporating scientific questions from the demonstration project and user engagement. This UniProt-CF partnership will support functional genomics towards fundamental biological systems understanding and the development of new diagnostics and therapies.
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