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Updated: May 3, 2026
08:31
Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
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Translational Bioinformatics Approaches to Drug Development.
1Center for Biomedical Informatics, Icahn School of Medicine at Mount Sinai , New York, New York. ; Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai , New York, New York.
Advances in Wound Care
|February 15, 2014
Summary
Precision medicine requires new therapeutic strategies that consider genomic and environmental factors. Translational bioinformatics can bridge the gap between current reactive healthcare and precise, preventive treatments, especially in drug development.
Area of Science:
- Translational bioinformatics and precision medicine.
Background:
- Emerging informatics methods enable organizing and leveraging molecular data for disease classification, drug repositioning, biomarker identification, and network modeling.
- These advancements significantly impact drug development approaches.
Approach:
- Integrating genotype, gene expression, clinical traits, and other multiscale measures using causal network inference.
- Constructing predictive, multiscale network models of disease.
Key Points:
- A critical issue is the shortage of investigators skilled in both biomedical domains and informatics.
- Fostering interdisciplinary expertise will accelerate bioinformatics adoption in translational research.
Conclusions:
- Identifying key drivers of pathology through network models can reveal novel therapeutic targets and biomarker candidates.
- This approach supports the development of precise and preventive therapeutic strategies.
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