fRMSDPred: Predicting local RMSD between structural fragments using sequence information

Keyphrases

• Sequence Information 100%
• Fragment-level 100%
• Structural Fragments 100%
• Protein Structure 50%
• Comparative Modeling 50%
• Modeling Approach 50%
• Machine Learning Approach 50%
• Effective Information 50%
• Prediction Problems 50%
• Sequence Identity 50%
• Structural Features 50%
• Coding Scheme 50%
• Structural Information 50%
• Protein Structure Prediction 50%
• Protein Pairs 50%
• Protein Profile 50%
• Least Squares Support Vector Regression (LSSVR) 50%
• Protein Fragments 50%
• Predicted Secondary Structure Information 50%
• Supervised Learning 50%
• Scoring Scheme 50%
• Support Vector Classification 50%
• Sequence-structure Alignment 50%
• Initial Sequence 50%
• Predicted Secondary Structure 50%
• Learning Framework 50%
• Exponential Kernel 50%
• RMSD Prediction 50%
• Information Encoding 50%
• PRESENT Algorithm 50%

Computer Science

• Information Sequence 100%
• Secondary Structure 100%
• Structural Feature 50%
• Support Vector Regression 50%
• Machine Learning Approach 50%
• Sequence Identity 50%
• Supervised Learning 50%
• Effective Information 50%
• Structure Alignment 50%
• Learning Framework 50%
• Kernel Function 50%
• Encoding Scheme 50%

Biochemistry, Genetics and Molecular Biology

• Protein Secondary Structure 100%
• Support Vector Machine 100%
• Protein Structure 50%
• Protein Structure Prediction 50%