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. 2023 Jun 27;13:10419. doi: 10.1038/s41598-023-37344-1

Table 2.

In-silico analyses for detected MC3R variants.

SNP-IDa AA exchangeb Con_perc (%)c Nuc_del (i/3)d AA_del (j/2)e P_stab (k/2)f
rs3827103 p.Val44Ile 100 1/3 0/2 dec (2/2)i
rs143321797 p.Phe45Ser 100 3/3 2/2 dec (2/2)
rs145062060 p.Leu58 =  100 1/3 NAh
rs749736842 p.Leu58 =  76.92 1/3 NA
rs148382606 p.Tyr143 =  84.62 2/3 NA
rs41274722 p.Ile189 =  30.77 2/3 NA
Novelg p.Ala214Val 100 3/3 2/2 inc (2/2)j
rs767076441 p.Val218Ile 88.46 0/3 0/2 dec (2/2)
in rs61735259 p.Arg220Ser 100 3/3 2/2 dec (2/2)
rs757322252 p.Ile298Ser 100 3/3 2/2 dec (2/2)
rs121913556 3/3

aSNP-ID: the dbSNP ID of detected variants.

bAA exchange: AA alteration of detected variants.

cCon_perc (%): the percentile of conserved positions in the analyzed 26 species.

dNuc_del (i/3): the altered nucleotide was predicted as deleteriousness in i of three in-silico tools.

eAA_del (j/2): the alternative AA was evaluated as pathogenic in j of two tests.

fP_stab (k/2): the protein stability changing in k of 2 predictors.

gNovel: the novel variant that has not been identified in the previous studies.

hNA: not available data.

idec (2/2): protein stability decreased in both estimated software.

jinc (2/2): protein stability increases in both software.