TY - JOUR T1 - ClusCo: clustering and comparison of protein models JF - BMC Bioinformatics Y1 - 2013 A1 - Michal Jamroz A1 - Andrzej KoliƄski AB - BACKGROUND: The development, optimization and validation of protein modeling methods require efficient tools forstructural comparison. Frequently, a large number of models need to be compared with the targetnative structure. The main reason for the development of Clusco software was to create a high-throughput tool for all-versus-all comparison, because calculating similarity matrix is the one of thebottlenecks in the protein modeling pipeline. RESULTS: Clusco is fast and easy-to-use software for high-throughput comparison of protein models with dif-ferent similarity measures (cRMSD, dRMSD, GDT_TS, TM-Score, MaxSub, Contact Map Overlap)and clustering of the comparison results with standard methods: K-means Clustering or HierarchicalAgglomerative Clustering. CONCLUSIONS: The application was highly optimized and written in C/C++, including the code for parallel execu-tion on CPU and GPU, which resulted in a significant speedup over similar clustering and scoringcomputation programs. VL - 14 IS - 1 ER -