Project name: SH3_S140G

Status: done

submitted: 2019-03-14 17:16:06, status changed: 2019-03-14 18:49:57
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Chain sequence(s) A: GSHMTFVALYDYESRTETDLSFKKGERLQIVNNTEGDWWLAHSLTTGQTGYIPSNYVAPS
Distance of aggregation 10 Å
Dynamic mode No
Mutated residues SA140G
Energy difference between WT (input) and mutated protein (by FoldX) 0.258995 kcal/mol

Changes in protein stability upon mutation are calculated using the FoldX forcefield. Computational prediction of protein stability is used with the intention of preventing the experimental characterization of proteins bearing mutations that significantly destabilize their structure. Mutations resulting in a predicted reduction in protein stability ≥ 1 kcal/mol are considered disruptive.

Show buried residues

Minimal score value
-3.475
Maximal score value
1.2508
Average score
-0.9059
Total score value
-54.3559

The table below lists A3D score for protein residues. Residues with A3D score > 0.0000 are marked by yellow rows.

residue index residue name chain Aggrescan3D score mutation
residue index residue name chain Aggrescan3D score
mutation
81 G A -0.4516
82 S A -0.6835
83 H A -0.7927
84 M A 0.2121
85 T A -0.2994
86 F A -0.1513
87 V A -0.6125
88 A A 0.0000
89 L A -0.2901
90 Y A -0.7267
91 D A -2.8528
92 Y A -2.1055
93 E A -2.8815
94 S A 0.0000
95 R A -2.7837
96 T A -2.1540
97 E A -2.3526
98 T A -1.2414
99 D A -1.3229
100 L A 0.0000
101 S A -1.9034
102 F A 0.0000
103 K A -3.4750
104 K A -2.8460
105 G A -1.9360
106 E A 0.0000
107 R A -2.0793
108 L A 0.0000
109 Q A -0.2347
110 I A 0.4388
111 V A 1.2508
112 N A -0.4196
113 N A -1.8142
114 T A -1.7328
115 E A -2.9363
116 G A -2.6085
117 D A -2.6844
118 W A -1.3424
119 W A -0.6978
120 L A 0.4052
121 A A 0.0000
122 H A -0.3825
123 S A 0.0000
124 L A -0.2752
125 T A -0.7780
126 T A -0.8766
127 G A -0.8153
128 Q A -1.4110
129 T A -0.4939
130 G A 0.0000
131 Y A 0.2197
132 I A 0.0000
133 P A 0.0000
134 S A -1.2857
135 N A -1.2485
136 Y A -0.1909
137 V A 0.0000
138 A A -0.0570
139 P A -0.2507
140 G A -0.4046 mutated: SA140G

 

Laboratory of Theory of Biopolymers 2015