TM-score is an algorithm to calculate the similarity of topologies of two protein structures. It can be exploited to quantitatively access the quality of protein structure predictions relative to native. Because TM-score weights the close matches stronger than the distant matches, TM-score is more sensitive than root-mean-square deviation (RMSD)
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J. Xu, Y. Zhang,
How significant is a protein structure similarity with TM-score=0.5?
Bioinformatics, 2010 26, 889-895