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Updated: Jul 4, 2026
07:35
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
From protein-disease associations to disease informatics
Mehmet M Dalkilic1, James C Costello, Wyatt T Clark
1School of Informatics, Indiana University, Bloomington, IN 47408, USA.
Summary
Computational biology advances understanding of disease, but biomarkers lack sensitivity for population screening. Future models require more data and development for personalized, data-driven predictive medicine and treatment.
Area of Science:
- Computational biology
- Translational medicine
- Biomarker discovery
Background:
- High-throughput technology and computational power have advanced cellular process understanding and disease intricacies.
- Computational biology has improved disease characterization and algorithm development for translational medicine.
Purpose of the Study:
- Review computational methodologies for high-throughput platforms in disease understanding.
- Argue for data-driven, personalized integrated models for biomarker discovery, predictive medicine, and treatment.
Main Methods:
- Review of current computational methodologies.
- Analysis of high-throughput experimental platforms.
- Discussion of integrated model requirements.
Main Results:
- Significant progress in understanding cellular processes and disease.
- Identified limitations in biomarker sensitivity and specificity for population screening.
- Need for further data collection and computational model development.
Conclusions:
- Integrated models for biomarker discovery, predictive medicine, and treatment are likely to be data-driven and personalized.
- Major data collection and comprehensive computational model development are essential for future progress.
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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GWAS does not require the identification of the target gene involved in...
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