Project name: htt frag chain B

Status: done

submitted: 2017-12-08 06:19:28, status changed: 2017-12-08 07:50:04
Settings
Chain sequence(s) B: MATLEKLMKAFESLKSFQQQQQQQQQQQQQQ
Distance of aggregation 10 Å
Dynamic mode Yes
Show buried residues

Minimal score value
-4.1946
Maximal score value
1.2168
Average score
-1.5142
Total score value
-46.9394

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
371 M B 0.9713
372 A B 0.2955
373 T B 0.1057
374 L B 0.7848
375 E B -0.6774
376 K B -1.2865
377 L B 0.9962
378 M B 0.5445
379 K B -1.4886
380 A B 0.1227
381 F B 1.2168
382 E B -1.1281
383 S B 0.0213
384 L B 0.9998
385 K B -1.0873
386 S B -0.7862
387 F B 0.7125
388 Q B -1.2824
389 Q B -2.3433
390 Q B -2.3397
391 Q B -2.6308
392 Q B -3.4984
393 Q B -4.0011
394 Q B -4.1946
395 Q B -4.1761
396 Q B -4.1678
397 Q B -4.1474
398 Q B -4.1190
399 Q B -3.8128
400 Q B -3.2958
401 Q B -3.2472

Above is the comparison between the input structure and the most aggregation prone model (predicted in the flexibility simulations, download both models in the PDB file format , download table with rmsd values ). The picture presents the most aggregation prone model (in blue) superimposed on the input structure (in red). The plot shows rmsd profile (distances between residues of the superimposed structures).

Dynamic mode uses CABS-flex simulations of protein structure fluctuations. The structure fluctuations may have impact on the size and extent of aggregation "hot-spots" on the protein surface. The dynamic mode uses the following pipeline: (1) based on the input structure, CABS-flex predicts a set of different models reflecting protein dynamics in solution; (2) for each of these models A3D score is calculated; (3) finally, the most aggregation prone model (the model with the highest A3D score, -1.5142 in this case) is selected and presented in A3D results.


 

Laboratory of Theory of Biopolymers 2015