Template modeling score

<p>In <a href="/facts/Bioinformatics/D5x2L8ee">bioinformatics</a>, the template modeling score or TM-score is a measure of similarity between two <a href="/facts/Protein_structure/BptnTs9X">protein structures</a>. The TM-score is intended as a more accurate measure of the global similarity of full-length protein structures than the often used <a href="/facts/Root_mean_square_deviation_(bioinformatics)/TEvYFrSA">RMSD</a> measure. The TM-score indicates the similarity between two structures by a score between 
  
    
      
        (
        0
        ,
        1
        ]
      
    
    {\displaystyle (0,1]}
  
, where 1 indicates a perfect match between two structures (thus the higher the better). Generally scores below 0.20 corresponds to randomly chosen unrelated proteins whereas structures with a score higher than 0.5 assume roughly the same fold. 
A quantitative study

shows that proteins of TM-score = 0.5 have a <a href="/facts/Posterior_probability/fojsMD0D">posterior probability</a> of 37% in the same <a href="/facts/CATH/n5mBVu02">CATH</a> topology family and of 13% in the same <a href="/facts/Structural_Classification_of_Proteins_database/4uz6VcF7">SCOP</a> fold family. The probabilities increase rapidly when TM-score > 0.5. The TM-score is designed to be independent of protein lengths.
</p>

Template modeling score open-in-new

Template modeling score