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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
Profiling disease-selective drug targets: From proteomics to ligandomics.
Prabuddha Waduge1, Hong Tian2, Keith A Webster3
1Cullen Eye Institute, Department of Ophthalmology, Baylor College of Medicine, Houston, TX 77030, USA.
Ligandomics, a functional proteomics technique, identifies novel therapeutic targets by profiling cell-binding ligands. This approach enables selective targeting of disease pathways for improved drug efficacy and safety.
Area of Science:
- Biochemistry
- Proteomics
- Drug Discovery
Background:
- Traditional omics technologies like transcriptomics and proteomics face challenges in identifying effective therapeutic targets.
- Cellular ligands, proteins that bind to cell surfaces, represent a promising but underexplored area for drug development.
- Ligandomics offers a novel functional proteomics approach for comprehensive ligand profiling.
Purpose of the Study:
- To review the potential of cellular ligands as therapeutic targets.
- To summarize the development and application of ligandomics technology.
- To compare omics technologies for drug target discovery and discuss selection criteria.
Main Methods:
- Ligandomics for global profiling of cell-binding protein ligands.
- Comparative analysis of ligandomics data from diseased versus healthy vasculatures.
- Review and comparison of various omics technologies and target selection strategies.
Main Results:
- Ligandomics enables systematic mapping of disease-restricted ligands.
- Identification of ligands that selectively target pathological pathways offers high efficacy with intrinsic safety.
- Comparative ligandomics provides a powerful tool for discovering novel therapeutic targets.
Conclusions:
- Ligandomics is a promising functional proteomics technology for identifying selective and safe therapeutic targets.
- This approach can significantly improve drug research and development success rates.
- Careful target selection criteria are crucial for advancing drug discovery.
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