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Journal / Biochemistry / A Knowledge Graph Approach to Elucidate the Role…
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Biochemistry

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JoVE Journal Biochemistry
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Article DOI: 10.3791/65084-v • 07:35 min • October 13th, 2023
October 13th, 2023 •
1,2,3, 1,3,4, 1, 1, 1, 1, 1, 1, 1, 1, 1,2,3, 3,4, 1,2,3,4,5
1Department of Physiology, UCLA School of Medicine, 2Scalable Analytics Institute (ScAi) at Department of Computer Science, UCLA School of Engineering, 3NIH BRIDGE2AI Center at UCLA & NHLBI Integrated Cardiovascular Data Science Training Program, UCLA, 4Medical Informatics, University of California at Los Angeles (UCLA), 5Department of Medicine (Cardiology), UCLA School of Medicine

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Summary
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A computational protocol, CaseOLAP LIFT, and a use case are presented for investigating mitochondrial proteins and their associations with cardiovascular disease as described in biomedical reports. This protocol can be easily adapted to study user-selected cellular components and diseases.

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Knowledge Graph Organellar Pathways Disease Biomedical Reports Computational Protocol Associations Mitochondria Proteins Information Extraction Knowledge Bases Relationships Prediction Hypothesis Generation Protein Disease Associations Disease Pathology Therapeutic Insights Workflow Customization GO Term MeSH Term Publication Date Range User-friendly Protocol Software Release Docker Container Computational Storage And Resources
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