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About Target Identification
This document discusses how computational systems biology approaches can aid in quantitatively analyzing biochemical networks for drug-target prediction. Specifically, it discusses: 1) Using protein interaction networks derived from experimental data to predict drug targets by analyzing topological properties of nodes. 2) Combining protein interaction data with other data types in heterogeneous networks to strengthen predictions. 3) Developing mathematical models of signaling pathways to explain dynamic features and predict effects of interventions like targeting specific proteins.
Detailed Information
| Author: | ['Halil İbrahim Özdemir'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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