Q9KSK9
multicom
Q9KSK9
full_length
Q9KSK9
Results of Structure Prediction for Target Name: Q9KSK9 ( Click 
)
Domain Boundary prediction ( View )
>Q9KSK9: 1-131
| 1-60: |
M | K | V | L | P | L | R | H | Y | L | L | R | E | N | K | M | S | K | L | T | A | D | I | E | A | N | L | A | L | F | I | Q | E | T | Q | E | S | Q | L | V | W | G | L | R | N | E | E | G | W | L | S | C | E | S | T | E | F | E | E | S |
| 61-119: |
E | V | M | P | F | W | S | S | K | E | D | A | Q | I | H | N | V | E | E | W | A | D | F | E | V | V | E | I | P | L | D | V | F | V | E | D | W | L | I | T | L | D | E | D | G | V | L | V | G | T | N | W | N | A | N | L | E | G | K | E |
| 121-131: |
L | E | P | S | Q | L | A | K | L | Y | L |
| 1-60: |
C | C | C | C | C | H | H | H | H | H | H | H | H | H | H | H | H | H | H | C | C | C | H | H | H | H | H | H | H | H | H | H | H | H | H | H | C | C | E | E | E | E | E | E | C | C | C | C | E | E | E | E | C | C | C | C | C | C | C | C |
| 61-119: |
C | E | E | E | C | C | C | H | H | H | H | H | H | H | H | H | H | H | H | H | H | C | C | C | C | C | E | C | C | H | H | H | H | H | H | H | H | H | H | C | C | C | C | C | C | E | E | E | E | E | C | C | C | C | C | C | C | C | C | E |
| 121-131: |
C | C | H | H | H | H | H | H | H | H | C |
| |
| | H(Helix): 60(45.8%) | E(Strand): 20(15.27%) | C(Coil): 51(38.93%) |
| 1-60: |
E | E | E | B | E | B | E | B | B | B | E | E | B | E | E | B | E | E | B | E | E | E | B | E | E | E | B | E | E | B | B | E | E | B | E | E | E | E | E | B | B | B | B | E | E | E | E | E | B | B | B | B | E | B | E | E | B | E | E | E |
| 61-119: |
E | B | B | B | B | B | B | E | E | E | B | B | E | E | B | B | E | E | E | B | E | E | B | E | B | E | E | B | E | B | E | E | B | B | E | E | B | B | E | E | B | E | E | E | E | B | B | B | B | B | B | B | E | E | E | B | E | B | E | E |
| 121-131: |
B | E | B | E | E | B | B | E | E | B | E |
| |
| | e(Exposed): 74(56.49%) | b(Buried): 57(43.51%) |
| 1-60: |
T | 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 |
| 121-131: |
N | N | N | N | N | N | N | N | N | N | N |
| |
| | N(Normal): 130(99.24%) | T(Disorder): 1(0.76%) |
Predicted contact map and distance map
|
Predicted distance map
|
|
Predicted contact map
|
Probability to Precision
| Long-Range |
Average probability |
Predicted precision |
| TopL/5 |
0.98 |
97.09 |
| TopL/2 |
0.91 |
95.41 |
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 |
98.48 |
| TopL |
87.02 |
| Top2L |
48.47 |
| Alignment |
Number |
| N |
1451 |
| Neff |
423 |
|
Model comparsion
| Model |
TM-score |
| Model 2 |
0.9729 |
| Model 3 |
0.9547 |
| Model 4 |
0.9684 |
| Model 5 |
0.9544 |
| Average |
0.96260 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 2z0r |
0.55084 |
| 4ev1 |
0.49728 |
| 2hg8 |
0.48810 |
| 5j83 |
0.48461 |
| 5bwv |
0.48330 |
|
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 |
85.50 |
| Top2L |
48.09 |
| Alignment |
Number |
| N |
1451 |
| Neff |
423 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.9729 |
| Model 3 |
0.9512 |
| Model 4 |
0.9579 |
| Model 5 |
0.9557 |
| Average |
0.95942 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 2z0r |
0.54945 |
| 4ev1 |
0.49713 |
| 2hg8 |
0.48856 |
| 3dtg |
0.48847 |
| 3dtf |
0.48733 |
|
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 |
86.26 |
| Top2L |
48.09 |
| Alignment |
Number |
| N |
1451 |
| Neff |
423 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.9547 |
| Model 2 |
0.9512 |
| Model 4 |
0.9597 |
| Model 5 |
0.9688 |
| Average |
0.95860 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 2z0r |
0.54530 |
| 4ev1 |
0.49590 |
| 5j85 |
0.49130 |
| 5j84 |
0.49115 |
| 5j83 |
0.48939 |
|
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 |
96.97 |
| TopL |
86.26 |
| Top2L |
49.24 |
| Alignment |
Number |
| N |
1451 |
| Neff |
423 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.9684 |
| Model 2 |
0.9579 |
| Model 3 |
0.9597 |
| Model 5 |
0.9566 |
| Average |
0.96065 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 2z0r |
0.55011 |
| 4ev1 |
0.49880 |
| 5j84 |
0.49713 |
| 5j85 |
0.49444 |
| 5j83 |
0.49344 |
|
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 |
86.26 |
| Top2L |
47.71 |
| Alignment |
Number |
| N |
1451 |
| Neff |
423 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.9544 |
| Model 2 |
0.9557 |
| Model 3 |
0.9688 |
| Model 4 |
0.9566 |
| Average |
0.95887 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 2z0r |
0.54498 |
| 4ev1 |
0.49759 |
| 5oyn |
0.48484 |
| 5j84 |
0.48355 |
| 5j85 |
0.48334 |
|
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.
