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Network based elucidation of drug response: from modulators to targets
Francesco Iorio, Julio Saez-Rodriguez, Diego di Bernardo1
1Telethon Institute of Genetics and Medicine, Naples, Italy. dibernardo@tigem.it.
Network pharmacology utilizes computational models of transcriptional, protein, and signaling networks to discover new therapeutics. Integrating molecular and drug networks accelerates the drug discovery pipeline.
Area of Science:
- Pharmacology
- Computational Biology
- Systems Biology
Background:
- Network-based drug discovery leverages network analysis to understand drug mechanisms.
- Current approaches explore transcriptional, protein, and signaling networks.
Purpose of the Study:
- To review recent advances in network pharmacology.
- To highlight the integration of various network models in drug discovery.
Main Methods:
- Review of computational models for transcriptional networks.
- Analysis of protein and signaling network models.
- Examination of drug networks derived from experimental data and literature.
Main Results:
- Diverse network models offer complementary views of drug action.
- Molecular and drug networks represent powerful integrated approaches.
Conclusions:
- Network pharmacology, integrating molecular and drug networks, is poised to enhance drug discovery.
- Full integration into pipelines will accelerate therapeutic development.
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