📄 Network pharmacology in the multi-omics era: uncovering novel therapeutic strategies
📕 Journal: Discover Chemistry (I.F.=4.6)
🗓 Publish year: 2026
🧑💻Authors: Kalyani Ramprasad Thombre, Vaishnavi Gabhane, Krishna Radheshyam Gupta, ...
🏢University: Kishoritai Bhoyar College of Pharmacy, India
📎 Study the paper
🗯 Article summary:
Network pharmacology represents a transformative approach in drug discovery, moving away from the traditional "one-drug, one-target" model to a systems-oriented framework that acknowledges the complexity of diseases through the integration of multi-omics data and computational methodologies. This review synthesizes current advancements in network pharmacology, highlighting its potential to enhance drug repurposing, precision medicine, and multi-target therapeutic strategies while addressing challenges related to data quality, methodological biases, and the need for rigorous experimental validation.
⚡️Channel: @ComplexNetworkAnalysis
#review #pharmacology #omics
📕 Journal: Discover Chemistry (I.F.=4.6)
🗓 Publish year: 2026
🧑💻Authors: Kalyani Ramprasad Thombre, Vaishnavi Gabhane, Krishna Radheshyam Gupta, ...
🏢University: Kishoritai Bhoyar College of Pharmacy, India
📎 Study the paper
🗯 Article summary:
Network pharmacology represents a transformative approach in drug discovery, moving away from the traditional "one-drug, one-target" model to a systems-oriented framework that acknowledges the complexity of diseases through the integration of multi-omics data and computational methodologies. This review synthesizes current advancements in network pharmacology, highlighting its potential to enhance drug repurposing, precision medicine, and multi-target therapeutic strategies while addressing challenges related to data quality, methodological biases, and the need for rigorous experimental validation.
⚡️Channel: @ComplexNetworkAnalysis
#review #pharmacology #omics
❤2