This page provides the results of testing eight side-chain prediction methods.
Analysis of this dataset can be found in the paper
"Assessment of Protein Side-Chain Conformation Prediction Methods in Different Residue Environments,"
Lenna X. Peterson, Xuejiao Kang, and Daisuke Kihara, Proteins: Structure, Function, Bioinformatics, 82: 1971-1984 (2014).
Pubmed
The dataset is divided by protein type: monomeric, multimeric, and integral membrane proteins. For each protein type, the predicted PDB files produced by each method are provided.
A Python script using Biopython to calculate side-chain angles can be found here.
The files are concatenated using tar and compressed using bzip2. POSIX users should unpack the file with the command "tar -xjvf file.tar.bz2". Windows users can install 7-Zip to unpack the file.
If you have any questions or suggestions, please feel free to contact us (dkihara@purdue.edu).