Leveraging machine learning models for peptide–protein interaction prediction

Keyphrases

• Computational Approach 100%
• Interaction Prediction 100%
• Machine Learning Models 100%
• Structural Information 50%
• Molecular Dynamics Simulation 50%
• Protein-protein Interaction 50%
• Biological Activity 50%
• Cellular Processes 50%
• Biological Data 50%
• Accuracy Improvement 50%
• High Computational Cost 50%
• Drug Development 50%
• Outcome Prediction 50%
• Deep Learning Model 50%
• Docking Dynamics 50%
• Machine Learning Learning 50%
• Deep Machine Learning 50%

Pharmacology, Toxicology and Pharmaceutical Science

• Biological Activity 100%
• Drug Development 100%
• Cellular Processes 100%

Biochemistry, Genetics and Molecular Biology

• Dynamics 100%
• Solution and Solubility 100%
• Biological Activity 100%