Master Course on Protein-Protein Interaction (PPI) Network Design and Structure in 4 weeks through hands-on, project-based online training with DSTC.
The course on Protein‑Protein Interaction (PPI) Network Design and Structure is crafted for students, researchers, and professionals in life‑sciences, biotechnology, and pharmaceutical industries. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The course on Protein‑Protein Interaction (PPI) Network Design and Structure is crafted for students, researchers, and professionals in life‑sciences, biotechnology, and pharmaceutical industries.
1. Put biotechnology techniques to work on real datasets and case studies.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
• A portfolio-grade biotechnology deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Understand the biological significance of protein‑protein interactions • Access and filter PPI data from databases such as STRING • Organize datasets for downstream network construction
Build PPI networks using Cytoscape and STRING • Apply CytoNCA to compute degree, closeness, and betweenness centralities • Identify hub proteins and key network nodes
Perform GO and KEGG pathway enrichment using ClueGO • Integrate enrichment results into the PPI map • Create publication‑ready visualizations of enriched networks
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Cytoscape |
| Covered Tool / Platform | ClueGO |
| Covered Tool / Platform | CytoNCA |
| Covered Tool / Platform | STRING |
| Covered Tool / Platform | Windows PC |
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