A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces

Keyphrases

• Protein-protein Interface 100%
• Machine Learning Approach 100%
• Hotspot Detection 100%
• Best Model 50%
• Protein-protein Interaction 50%
• Complex Structure 50%
• Sized Types 50%
• Cost Function 50%
• Complex numbers 50%
• Machine Learning Techniques 50%
• Overall Accuracy 50%
• Evolutionary Sequence 50%
• Sequence Features 50%
• Position-specific Scoring Matrix 50%
• Minor Classes 50%
• Random Forest Algorithm 50%
• Conditional Inference 50%
• Support Vector Machine Model 50%
• Interface Size 50%
• Feature Normalization 50%
• Upsampling 50%
• Structural Sequence 50%
• F1 Score 50%
• Interaction Type 50%

Biochemistry, Genetics and Molecular Biology

• Biochemistry 100%
• Position Weight Matrix 100%
• Protein-Protein Interaction 100%
• Random Forest 100%
• Support Vector Machine 100%

Immunology and Microbiology

• Protein Protein Interaction 100%
• Support Vector Machine 100%
• Random Forest 100%
• Position Weight Matrix 100%