Q9KSE7
multicom
Q9KSE7
full_length
Q9KSE7
Results of Structure Prediction for Target Name: Q9KSE7 ( Click
)
Domain Boundary prediction ( View
)
>Q9KSE7: 1-157
1-60: |
M | S | Y | L | P | L | D | Q | Y | Q | R | K | W | I | F | T | H | A | S | M | P | V | P | E | A | D | L | A | Q | I | K | P | M | E | P | L | R | A | A | Q | F | W | K | E | N | I | S | A | T | S | P | D | A | E | R | L | S | S | H | D |
61-119: |
W | P | R | K | A | N | S | W | S | G | E | T | G | W | M | A | E | W | E | S | D | E | P | E | L | P | E | A | L | A | A | H | L | A | W | Q | D | D | V | T | V | Y | F | C | Y | E | K | Y | N | V | L | E | T | K | W | S | V | F | K | R |
121-157: |
H | W | K | N | F | L | F | Y | D | D | G | P | F | L | L | G | R | R | R | K | E | A | L | W | F | S | S | E | G | K | V | K | F | G | Q | R | P |
1-60: |
C | C | C | C | C | H | H | H | C | C | C | E | E | E | E | E | C | C | C | C | C | C | C | H | H | H | H | H | H | H | C | H | C | C | H | H | H | H | H | H | H | H | H | H | H | H | H | C | C | C | C | C | H | H | H | H | C | C | C | C |
61-119: |
C | C | C | C | C | C | H | H | H | C | C | C | C | C | H | H | H | C | C | C | C | C | H | H | H | H | H | H | H | H | H | H | H | C | C | C | C | C | C | E | E | E | E | E | E | C | C | C | C | E | E | E | E | C | H | H | H | H | H | H |
121-157: |
H | H | H | H | H | H | E | C | C | C | C | C | E | E | E | E | C | C | C | C | E | E | E | E | E | E | C | C | C | E | E | E | E | C | C | C | C |
|
| H(Helix): 57(36.31%) | E(Strand): 30(19.11%) | C(Coil): 70(44.59%) |
1-60: |
E | E | B | B | E | B | E | E | B | E | E | E | B | B | B | E | B | E | E | B | E | B | E | E | E | B | B | E | E | B | E | E | B | B | E | E | B | B | E | E | B | B | E | E | B | B | E | E | E | E | E | B | B | E | E | B | E | E | E | E |
61-119: |
B | E | E | E | E | E | E | B | E | E | E | B | E | B | B | E | E | B | E | E | E | E | E | E | B | E | E | B | B | B | E | B | B | E | B | E | E | E | B | B | B | B | B | B | B | B | E | E | B | B | B | B | B | E | B | E | B | B | B | E |
121-157: |
B | B | E | B | B | B | B | B | B | E | B | B | B | B | B | B | E | E | E | E | E | B | B | B | B | B | E | E | B | E | B | E | E | B | E | E | E |
|
| e(Exposed): 81(51.59%) | b(Buried): 76(48.41%) |
1-60: |
N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
61-119: |
N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
121-157: |
N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N |
|
| N(Normal): 157(100%) | T(Disorder): 0(0%) |
Predicted contact map and distance map
Predicted distance map
|
|
Predicted contact map
|
Probability to Precision
Long-Range |
Average probability |
Predicted precision |
TopL/5 |
0.97 |
96.03 |
TopL/2 |
0.89 |
93.33 |
Note: The linear model (Average probability vs Predicted precision) was trained on CASP14 dataset
|
Predicted Top 1 Tertiary structure
|
|
Long-Range |
Precision |
TopL/5 |
100.00 |
TopL/2 |
100.00 |
TopL |
84.08 |
Top2L |
55.41 |
Alignment |
Number |
N |
811 |
Neff |
223 |
|
Model comparsion
Model |
TM-score |
Model 2 |
0.9813 |
Model 3 |
0.8908 |
Model 4 |
0.9821 |
Model 5 |
0.9718 |
Average |
0.95650 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
1cby |
0.49841 |
6ii2 |
0.48446 |
2h3w |
0.48377 |
2rcu |
0.47433 |
4ep9 |
0.47221 |
|
Note: The model is built by ab initio method, no significant templates are found!
|
Predicted Top 2 Tertiary structure
|
|
Long-Range |
Precision |
TopL/5 |
100.00 |
TopL/2 |
100.00 |
TopL |
85.35 |
Top2L |
56.05 |
Alignment |
Number |
N |
811 |
Neff |
223 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.9813 |
Model 3 |
0.8874 |
Model 4 |
0.9816 |
Model 5 |
0.9720 |
Average |
0.95557 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
1cby |
0.49353 |
6ii2 |
0.48264 |
1ukf |
0.47739 |
5ehk |
0.47676 |
2fy5 |
0.46948 |
|
Note: The model is built by ab initio method, no significant templates are found!
|
Predicted Top 3 Tertiary structure
|
|
Long-Range |
Precision |
TopL/5 |
100.00 |
TopL/2 |
100.00 |
TopL |
76.43 |
Top2L |
41.40 |
Alignment |
Number |
N |
811 |
Neff |
223 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.8908 |
Model 2 |
0.8874 |
Model 4 |
0.8860 |
Model 5 |
0.8883 |
Average |
0.88813 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
5g05 |
0.48838 |
1t7o |
0.48827 |
1t7q |
0.48742 |
2fy5 |
0.48405 |
5u89 |
0.48390 |
|
Note: The model is built by ab initio method, no significant templates are found!
|
Predicted Top 4 Tertiary structure
|
|
Long-Range |
Precision |
TopL/5 |
100.00 |
TopL/2 |
100.00 |
TopL |
82.80 |
Top2L |
55.41 |
Alignment |
Number |
N |
811 |
Neff |
223 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.9821 |
Model 2 |
0.9816 |
Model 3 |
0.8860 |
Model 5 |
0.9727 |
Average |
0.95560 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
1cby |
0.49449 |
6ii2 |
0.48165 |
5ehk |
0.47998 |
1ukf |
0.47824 |
1pvj |
0.47178 |
|
Note: The model is built by ab initio method, no significant templates are found!
|
Predicted Top 5 Tertiary structure
|
|
Long-Range |
Precision |
TopL/5 |
100.00 |
TopL/2 |
100.00 |
TopL |
81.53 |
Top2L |
54.46 |
Alignment |
Number |
N |
811 |
Neff |
223 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.9718 |
Model 2 |
0.9720 |
Model 3 |
0.8883 |
Model 4 |
0.9727 |
Average |
0.95120 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
1cby |
0.50015 |
6ii2 |
0.48583 |
5ehk |
0.48364 |
2fy4 |
0.48344 |
1t7n |
0.48242 |
|
Note: The model is built by ab initio method, no significant templates are found!
|
References
[1] Hou, J., Wu, T., Cao, R., & Cheng, J. (2019). Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13. bioRxiv, 552422.
[2] Li, J., Deng, X., Eickholt, J., & Cheng, J. (2013). Designing and benchmarking the MULTICOM protein structure prediction system. BMC structural biology, 13(1), 2.
[3] Cheng, J., Li, J., Wang, Z., Eickholt, J., & Deng, X. (2012). The MULTICOM toolbox for protein structure prediction. BMC bioinformatics, 13(1), 65.
[4] Wang, Z., Eickholt, J., & Cheng, J. (2010). MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8. Bioinformatics, 26(7), 882-888.