Master Protein Interaction Networks: Introduction in 4 weeks through hands-on, project-based online training with DSTC.
The Protein Interaction Networks: Introduction course is a free, beginner-friendly self-paced program designed to introduce learners to the study of protein-protein interactions (PPIs) and their role in cellular processes. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
The Protein Interaction Networks: Introduction course is a free, beginner-friendly self-paced program designed to introduce learners to the study of protein-protein interactions (PPIs) and their role in cellular processes.
1. Apply Artificial Intelligence methods to authentic research and industry problems.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
β’ Master's and senior undergraduate students specializing in Artificial Intelligence
β’ R&D engineers and working professionals applying Artificial Intelligence in industry
β’ Academics and educators building research or teaching capacity in Artificial Intelligence
β’ Tangible, reproducible Artificial Intelligence work to show supervisors or employers.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
What are Protein Interaction Networks? β’ Understanding Protein-Protein Interactions (PPIs) β’ The Role of PPIs in Cellular Functions and Signaling β’ Applications of Protein Interaction Networks in Research
Types of Protein-Protein Interactions (Direct, Indirect, Functional) β’ Understanding Molecular Mechanisms of Protein Interactions β’ Protein Complexes and Signaling Pathways β’ Mapping Protein Interactions in Cells
Public Databases for Protein Interaction Data (e.g., STRING, BioGRID) β’ Experimental Methods for Identifying PPIs β’ Computational Tools for Analyzing Protein Interaction Networks β’ Basic Tools for Network Construction and Analysis
Building Protein Interaction Networks from Data β’ Network Metrics: Degree, Clustering Coefficient, Path Length β’ Visualizing Protein Interaction Networks with Software (e.g., Cytoscape) β’ Identifying Key Nodes and Pathways in Protein Networks
Role of Protein Interaction Networks in Disease Mechanisms β’ Protein Interactions in Cancer, Infectious Diseases, and Neurodegenerative Diseases β’ Applications in Drug Target Identification and Development β’ Future Trends in Protein Network-Based Drug Discovery
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Protein Interaction Networks |
| Covered Tool / Platform | PPIs Databases (STRING, BioGRID, IntAct) |
| Covered Tool / Platform | Network Analysis Tools (Cytoscape) |
| Covered Tool / Platform | Biological Network Visualization |
| Covered Tool / Platform | Computational Biology |
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