Project name: SH3_G116H

Status: done

submitted: 2019-03-14 15:29:14, status changed: 2019-03-14 17:32:56
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Chain sequence(s) A: GSHMTFVALYDYESRTETDLSFKKGERLQIVNNTEGDWWLAHSLTTGQTGYIPSNYVAPS
Distance of aggregation 10 Å
Dynamic mode No
Mutated residues GA116H
Energy difference between WT (input) and mutated protein (by FoldX) 0.377627 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
-3.4838
Maximal score value
1.245
Average score
-0.9266
Total score value
-55.5944

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 -0.4510
82 S A -0.6826
83 H A -0.7912
84 M A 0.2668
85 T A 0.0000
86 F A -0.1044
87 V A -0.6223
88 A A 0.0000
89 L A -0.3125
90 Y A -0.7367
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 -1.3256
100 L A 0.0000
101 S A -1.9034
102 F A 0.0000
103 K A -3.4838
104 K A -2.8616
105 G A -1.9621
106 E A 0.0000
107 R A -2.0714
108 L A 0.0000
109 Q A -0.2491
110 I A 0.4317
111 V A 1.2450
112 N A -0.4800
113 N A -1.9508
114 T A -1.8612
115 E A -3.1971
116 H A -3.1372 mutated: GA116H
117 D A -2.9460
118 W A -1.5011
119 W A -0.8298
120 L A 0.3927
121 A A 0.0000
122 H A -0.3866
123 S A 0.0000
124 L A -0.2796
125 T A -0.7803
126 T A -0.8780
127 G A -0.8169
128 Q A -1.4119
129 T A -0.4950
130 G A 0.0000
131 Y A 0.2115
132 I A 0.0000
133 P A 0.0000
134 S A -1.4012
135 N A -1.3088
136 Y A -0.2038
137 V A 0.0000
138 A A -0.0212
139 P A -0.1505
140 S A -0.1759

 

Laboratory of Theory of Biopolymers 2015