Project name: SH3_K103M

Status: done

submitted: 2019-03-14 15:21:07, status changed: 2019-03-14 16:41:36
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Chain sequence(s) A: GSHMTFVALYDYESRTETDLSFKKGERLQIVNNTEGDWWLAHSLTTGQTGYIPSNYVAPS
Distance of aggregation 10 Å
Dynamic mode No
Mutated residues KA103M
Energy difference between WT (input) and mutated protein (by FoldX) 0.347866 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
-2.9363
Maximal score value
1.2498
Average score
-0.743
Total score value
-44.5801

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 -0.3533
88 A A 0.0000
89 L A 0.0879
90 Y A -0.1031
91 D A -1.7555
92 Y A -1.4731
93 E A -2.5013
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 -1.3908
102 F A 0.0000
103 M A -0.9805 mutated: KA103M
104 K A -1.6328
105 G A -1.3149
106 E A 0.0000
107 R A -1.7974
108 L A 0.0000
109 Q A -0.2491
110 I A 0.4372
111 V A 1.2498
112 N A -0.4200
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 0.4047
121 A A 0.0000
122 H A -0.3840
123 S A 0.0000
124 L A -0.2809
125 T A -0.4997
126 T A -0.6032
127 G A -0.8157
128 Q A -1.4109
129 T A -0.4941
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 -0.2039
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