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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
Targeting molecular networks for drug research
José P Pinto1, Rui S R Machado1, Joana M Xavier1
1SysBioLab, Centre for Molecular and Structural Biomedicine, Universidade do Algarve Faro, Portugal.
Researchers are exploring how to modify molecular networks, crucial for understanding diseases. Drug interventions offer a feasible approach for network alteration, aiding in drug target identification and predicting side effects.
Area of Science:
- Biomedical research
- Molecular biology
- Systems biology
Background:
- Molecular networks are central to understanding cellular mechanisms and disease.
- Human diseases can be viewed as altered states of molecular networks.
- Modifying these networks is a key challenge in biomedical research.
Purpose of the Study:
- To review how molecular network analysis can advance pharmacology.
- To discuss drug-based strategies for altering molecular networks.
- To highlight resources for future research in this area.
Main Methods:
- Review of current literature on molecular interaction networks and pharmacology.
- Discussion of exemplary approaches in drug target identification and side effect prediction.
- Outline of recent advances in drug-induced cell reprogramming.
Main Results:
- Molecular network analysis provides valuable insights for drug discovery.
- Drugs can be used to identify new therapeutic targets and predict adverse effects.
- Drug-based in vitro cell reprogramming demonstrates network alteration potential.
Conclusions:
- Analysis of molecular networks is essential for advancing pharmacological interventions.
- Drugs represent a powerful tool for manipulating molecular networks in disease contexts.
- Further research into network-based pharmacology and drug-induced reprogramming is warranted.
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