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Drug discovery in a multidimensional world: systems, patterns, and networks.
Joel T Dudley1, Eric Schadt, Marina Sirota
1Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA.
Journal of Cardiovascular Translational Research
|August 3, 2010
Summary
Systems-oriented drug discovery uses comprehensive molecular models to improve therapeutic interventions for diseases like cardiovascular disease, moving beyond traditional single-target approaches.
Area of Science:
- Biomedical research
- Computational biology
- Pharmacology
Background:
- Cardiovascular disease research has advanced significantly, but translating discoveries into effective therapies remains challenging.
- The pharmaceutical industry faces declining drug approval rates despite increased R&D investment.
- New technological and scientific innovations are crucial for revitalizing drug discovery pipelines.
Purpose of the Study:
- To discuss emerging systems-oriented approaches in drug discovery.
- To contrast these new methods with traditional, unidimensional drug discovery.
- To highlight applications of systems-oriented approaches in drug discovery, including target identification, drug repositioning, and toxicity assessment, with a focus on cardiovascular disease.
Main Methods:
- Leveraging advances in molecular profiling technologies.
- Utilizing sophisticated computational approaches for analyzing high-dimensional molecular data.
- Constructing comprehensive molecular models to represent broader biomolecular systems.
Main Results:
- Systems-oriented approaches enable the simultaneous evaluation of numerous molecular entities across multiple data types (e.g., proteomics, gene expression).
- These methods facilitate a holistic understanding of complex molecular states, such as disease.
- The paper reviews applications in target discovery, drug repositioning, and toxicity prediction.
Conclusions:
- Systems-oriented drug discovery offers a more comprehensive strategy compared to traditional methods.
- This approach holds promise for reinvigorating the drug discovery pipeline, particularly for complex diseases.
- Specific applications in cardiovascular drug discovery are discussed, indicating potential for improved therapeutic interventions.
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