Global distance test
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- VU Research Portal
- Protein Homology Model Refinement by Large-Scale Energy Optimization
- Improving Protein Tertiary Structure Prediction by Deep Learning and Distance Prediction in CASP14
- Exploring the Conformational Space for Protein Folding with Sequential Monte Carlo
- Chapter 1: Introduction
- Protein Structure Prediction Using Sparse NOE and RDC Restraints with Rosetta in CASP13
- Protein Model Quality Assessment Using Graph Convolutional Network
- CASP13 Abstracts.Pdf
- Improved Protein Structure Refinement Guided by Deep Learning Based
- Protein Structure Prediction
- Downloaded April 2019) with Two Iterations
- Quantifying Steric Hindrance and Topological Obstruction to Protein Structure Superposition Peter Røgen*
- Protein Model Accuracy Estimation Empowered by Deep Learning And
- Selecting Near-Native Protein Structures from Predicted Decoy Sets Using Ordered Graphlet Degree Similarity
- Probabilistic Divergence of a TBM Methodology from the Ideal Protocol
- Research.Pdf
- A Novel Approach to De Novo Protein Structure Prediction
- Experimental Accuracy in Protein Structure Refinement Via Molecular Dynamics Simulations