Requirements: pyRMSD, scipy, numpy, sklearn, Biopython.

Usage: gc <folder> [scores]

where "folder" contains input structures, and scores (optional argument) is their Rosetta score file.

The output clusters fill be written into the "_clusters" directory.

If you use this program, please cite: Guzenko, D., Strelkov, S. V. (2017). Granular clustering of de novo protein models. Bioinformatics.