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. 2019 Mar 6;9:3676. doi: 10.1038/s41598-019-39905-9

Table 2.

Disease-causing missense mutations with critical roles in protein stability.

Protein Retrieved mutations Missense mutations mapped onto structural domains Unfolding fraction per domain Number of mutations with critical roles predicted in silico
EYS 155 101 0.78 ± 0.26 42 (42%)
FBN1 1580 1451 0.75 ± 0.22 834 (57%)
FBN2 64 60 0.70 ± 0.27 27 (45%)
CFH 219 214 0.71 ± 0.24 70 (33%)
PCDH15 60 46 0.70 ± 0.30 11 (24%)
FAT1 20 15 0.62 ± 0.24 3 (20%)
FAT4 23 23 0.71 ± 0.28 3 (13%)
ROBO3 21 19 0.82 ± 0.22 9 (47%)
CDH23 234 218 0.59 ± 0.26 29 (13%)

From left to right: protein name; number of mutations retrieved from HGMD; number and average unfolding fraction of disease-causing mutations associated with structural domains, and number and percentage of HGMD mutations with critical roles (unfolding fraction > 0.9).