Project name: SH3_D91V

Status: done

submitted: 2019-03-14 15:13:38, status changed: 2019-03-14 15:54:58
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Chain sequence(s) A: GSHMTFVALYDYESRTETDLSFKKGERLQIVNNTEGDWWLAHSLTTGQTGYIPSNYVAPS
Distance of aggregation 10 Å
Dynamic mode No
Mutated residues DA91V
Energy difference between WT (input) and mutated protein (by FoldX) 0.693203 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
-2.9343
Maximal score value
1.2558
Average score
-0.6778
Total score value
-40.6657

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 -0.4506
82 S A -0.6820
83 H A -0.7908
84 M A 0.2676
85 T A 0.0000
86 F A -0.1034
87 V A -0.6253
88 A A 0.0000
89 L A 0.4052
90 Y A 0.9788
91 V A 0.6955 mutated: DA91V
92 Y A -0.3779
93 E A -2.0854
94 S A 0.0000
95 R A -2.7837
96 T A -2.1546
97 E A -2.3532
98 T A -1.2427
99 D A -1.3251
100 L A 0.0000
101 S A -1.2837
102 F A 0.0000
103 K A -1.9296
104 K A -1.5669
105 G A -1.4638
106 E A 0.0000
107 R A -2.0707
108 L A 0.0000
109 Q A -0.2441
110 I A 0.4416
111 V A 1.2558
112 N A -0.4087
113 N A -1.8092
114 T A -1.7294
115 E A -2.9343
116 G A -2.6073
117 D A -2.6850
118 W A -1.3424
119 W A -0.6960
120 L A 0.4072
121 A A 0.0000
122 H A -0.3823
123 S A 0.0000
124 L A -0.2789
125 T A -0.7803
126 T A -0.8780
127 G A -0.8169
128 Q A -1.4119
129 T A -0.4956
130 G A 0.0000
131 Y A 0.2160
132 I A 0.0000
133 P A 0.0000
134 S A -1.2863
135 N A -1.2517
136 Y A 0.3415
137 V A 0.0000
138 A A -0.0212
139 P A -0.1501
140 S A -0.1759

 

Laboratory of Theory of Biopolymers 2015