DrugNet: Analyzing Drug Interactions and Chemical Compound Similarities
Project Details
- Category: Network Analytics
- Client: IE
- Project date: March 2023
Description
DrugNet is a comprehensive project aimed at analyzing drug interactions and chemical compound similarities to provide valuable business insights. Leveraging graph analytics, this project visualizes the interactions between drugs, categorizes their interactions, and identifies patterns in drug distribution. By creating a multigraph, the project reveals structural similarities between chemical compounds and potential drug interactions, enhancing research, drug discovery, and market analysis.
Key Features
- Graph Analytics: Utilizes advanced graph analytics to visualize and analyze drug interactions.
- Interaction Categorization: Categorizes drug interactions to provide clear insights into potential risks and benefits.
- Pattern Identification: Identifies patterns in drug distribution and usage across different demographics and regions.
- Multigraph Creation: Develops a comprehensive multigraph to reveal structural similarities between chemical compounds.
- Research Enhancement: Supports drug discovery and market analysis through data-driven insights.