Building methodology discovering developing Chinese is a M.Tech project topic for Biotechnology & Biomedical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Building methodology discovering developing Chinese Project Details
| Abstract |
Network biology gives a new way to study the many‑component, many‑target actions of traditional Chinese medicine (TCM). This research shows how to build computational models that link herbs, their ingredients, biological targets, and diseases. By combining systems biology with network pharmacology, the method helps find active compounds and the pathways where they work together. The framework uses topological network analysis—measuring degree centrality, closeness centrality, and clustering coefficients—to predict how TCM formulas interact with human biology. It creates bipartite graphs and gene‑regulatory networks to simulate drug‑target contacts and the cellular responses that follow. The study also sets out evaluation steps that compare predicted network nodes with existing genomic, proteomic, and disease‑association
databases. With this structured computational approach, TCM research can move from trial‑and‑error to evidence‑based network pharmacology, providing a solid base for future drug development, target validation, and analysis of synergistic formulations.
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| Reference Paper |
Building methodology for discovering and developing Chinese medicine based on network biology |
| Domain |
Biotechnology & Biomedical Engineering |
| Sub-Domain |
Computational Biology / Systems Biology / Gene Regulatory Networks |
| PDF Download |
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