Predicting protein-ligand binding site using support vector machine with protein properties

Keyphrases

• Support Vector Machine 100%
• Protein Binding Site 100%
• Protein Properties 100%
• Algorithm Design 50%
• Conservation Properties 50%
• Binding Site 50%
• Protein Complex 50%
• Geometric Characteristics 50%
• Success Rate 50%
• Concavity 50%
• Structure-based Drug Design 50%
• Drug Docking 50%
• Interaction Potential 50%
• Metapocket 50%
• Conservation Measures 50%
• Fpocket 50%
• Protein Conservation 50%
• AUC Measure 50%
• Sequence-based Methods 50%
• Geometric Base 50%
• Drug-target Protein 50%
• Result Prediction 50%
• Docking Algorithms 50%

Biochemistry, Genetics and Molecular Biology

• Ligand Binding 100%
• Protein Property 100%
• Binding Site 100%
• Support Vector Machine 100%
• Protein Ligand 100%
• Energy Transfer 33%
• Protein Complexes 33%

Chemistry

• Binding Site 100%
• Ligand Binding 100%
• Drug Target 33%
• Area Under the Curve 33%
• Energetics 33%
• Protein Complex 33%