Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

Key Points

• To develop a method for revealing protein-protein interactions using graph theory and deep learning techniques.
• Transformation from image space to graph representations
• Utilization of graph-based features for classification
• Enhancement of decision-making efficiency with lightweight representations
• Reduction of computational costs and inference time
• Achieved accurate classification of protein-protein interactions
• Significantly reduced computational costs
• Improved inference time without compromising predictive accuracy

Abstract