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. 2026 May 15;24(2):100709. doi: 10.1016/j.jgeb.2026.100709

Table 2.

Predicted stability impact of MC4R variants using multiple estimation tools.

No. Variant mCSM (ΔΔG) SDM (ΔΔG) DUET (ΔΔG) ENCoM (ΔΔG) DynaMut (ΔΔG) Stability Trend
1 A259V +0.54 −0.61 +0.83 +0.38 +1.22 Mixed
2 E100K −0.37 −1.22 −0.24 +0.45 +0.76 Destabilizing
3 G233S −0.68 −0.95 −0.51 +0.00 +0.09 Destabilizing
4 G98R −0.83 −2.59 −0.89 +0.80 +0.16 Destabilizing
5 I173M −0.64 −0.43 −0.52 +0.03 +0.62 Destabilizing
6 M79T −1.97 −0.86 −1.65 −0.57 −0.98 Strongly destabilizing
7 N294S −1.33 −1.66 −1.45 −0.18 −0.23 Strongly destabilizing
8 Q307E −0.17 +1.14 +0.54 −0.02 +0.25 Mixed
9 R220G −0.93 −0.85 −0.96 −0.42 −1.00 Strongly destabilizing
10 T112M +0.26 +0.63 +0.43 +0.07 +0.14 Stabilizing
11 V228L −0.28 +0.39 +0.22 −0.11 +0.08 Mixed
12 Y187C −0.32 +0.10 −0.11 −0.22 −0.06 Destabilizing

ΔΔG values are expressed in kcal/mol. Negative values indicate destabilizing effects, while positive values indicate stabilizing effects. The overall stability trend was determined based on the consensus of multiple prediction tools.