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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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Computational Systems Bioinformatics and Bioimaging for Pathway Analysis and Drug Screening
Xiaobo Zhou1, Stephen T C Wong
1Bioinformatics Program and Department of Radiology, The Methodist Hospital Research Institute, Weill Medical College of Cornell University, Houston, TX 77030 USA.
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|December 17, 2009
Summary
Integrating bioimaging with genomics, proteomics, and metabonomics offers a powerful systems biology approach to understand disease pathways. This combined strategy enhances drug target identification and validation for improved pharmaceutical development.
Area of Science:
- Systems biology
- Molecular biology
- Drug discovery
Background:
- Current drug development relies on understanding disease mechanisms via signaling and cellular pathways.
- Genomics, proteomics, and metabonomics investigate these pathways through gene, protein, and metabolite profiling.
- Declining pharmaceutical revenues suggest these molecular approaches alone are insufficient for novel drug creation.
Purpose of the Study:
- To propose and validate a systems biology approach integrating bioimaging with molecular profiling methods.
- To demonstrate the utility of this integrated approach for pathway reconstruction and drug target validation.
- To identify new insights and potential drug targets for disease treatment.
Main Methods:
- Combining genomics, proteomics, and metabonomics for molecular profiling.
- Utilizing bioimaging techniques to generate quantitative phenotypic data.
- Developing pathway reconstruction and target validation methodologies based on integrated data.
- Applying the systems biology approach to pathway analysis and drug screening.
Main Results:
- The integration of bioimaging with molecular profiling provides a systematic method to decode complex molecular interactions in disease.
- This approach generates objective, quantitative phenotypes that correlate with molecular profiles.
- Selected application examples illustrate successful pathway analysis and drug screening.
Conclusions:
- Combining bioimaging with genomics, proteomics, and metabonomics represents a powerful systems biology strategy for drug discovery.
- This integrated approach can yield novel insights into disease mechanisms and identify new drug targets.
- The described methodology offers a robust framework for pathway reconstruction and target validation in pharmaceutical research.
