Template modeling score
measure of similarity between two protein structures

In bioinformatics, the template modeling score or TM-score is a measure of similarity between two protein structures. The TM-score is intended as a more accurate measure of the global similarity of full-length protein structures than the often used RMSD 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 posterior probability of 37% in the same CATH topology family and of 13% in the same SCOP fold family. The probabilities increase rapidly when TM-score > 0.5. The TM-score is designed to be independent of protein lengths.
The TM-score equation
TM-score between two protein structures (e.g., a template structure and a target structure) is defined by
TM-score
=
max
[
1
L
target
∑
i
L
common
1
1
+
(
d
i
d
0
(
L
target
)
)
2
]
{\displaystyle {\text{TM-score}}=\max \left[{\frac {1}{L_{\text{target}}}}\sum _{i}^{L_{\text{common}}}{\frac {1}{1+\left({\frac {d_{i}}{d_{0}(L_{\text{target}})}}\right)^{2}}}\right]}
where
L
target
{\displaystyle L_{\text{target}}}
is the length of the amino acid sequence of the target protein,
and
L
common
{\displaystyle L_{\text{common}}}
is the number of residues that appear in both the template and target structures.
d
i
{\displaystyle d_{i}}
is the distance between the
i
{\displaystyle i}
th pair of residues in the template and target structures, and
d
0
(
L
target
)
=
1.24
L
target
−
15
3
−
1.8
{\displaystyle d_{0}(L_{\text{target}})=1.24{\sqrt[{3}]{L_{\text{target}}-15}}-1.8}
is a distance scale that normalizes distances. The maximum is taken over all possible structure superpositions of the model and template (or some sample thereof).
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