Q9KRW6
multicom
Q9KRW6
full_length
Q9KRW6
Results of Structure Prediction for Target Name: Q9KRW6 ( Click
)
Domain Boundary prediction ( View
)
>Q9KRW6: 1-158
1-60: |
M | T | E | Q | T | S | P | E | S | L | T | D | G | A | H | S | K | T | D | S | A | W | P | L | A | C | N | L | E | P | R | L | V | S | R | G | R | W | Q | T | T | Q | W | M | L | H | G | F | S | L | T | P | E | A | Q | S | Q | Y | V | A |
61-119: |
T | L | H | L | Y | R | D | E | R | T | D | Y | R | F | N | L | S | S | Q | A | P | K | L | F | L | V | A | E | D | P | I | E | D | Q | P | L | K | V | V | Q | L | T | A | S | Q | A | V | A | S | R | Y | M | D | S | D | Y | L | V | L | S |
121-158: |
A | D | M | P | L | P | V | Q | A | L | M | E | A | Y | I | G | R | H | G | E | L | L | E | I | R | R | K | K | R | E | G | A | G | R | S | C | G | N |
1-60: |
C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | E | E | E | E | E | E | E | H | H | E | E | E | C | C | C | E | E | E | E | E | E | E | E | E | E | C | C | C | C | C | C | H | H | C | C | C | C | C |
61-119: |
E | E | E | E | E | H | H | H | H | H | H | H | E | E | E | C | C | C | C | C | C | E | E | E | E | E | E | E | C | C | C | C | C | C | C | C | C | C | E | E | E | E | C | C | H | H | H | H | H | H | H | H | C | C | C | C | C | E | E | E |
121-158: |
C | C | C | C | H | H | H | H | H | H | H | H | H | H | H | H | H | H | C | C | H | H | H | H | H | H | H | H | H | C | C | C | C | C | C | C | C | C |
|
| H(Helix): 42(26.58%) | E(Strand): 42(26.58%) | C(Coil): 74(46.84%) |
1-60: |
E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | B | B | B | B | B | B | B | B | E | E | E | E | E | E | E | E | E | B | E | E | B | B | B | E | B | E | E | B | E | B | E | E | E | E | E | B | E | E | B | B |
61-119: |
B | B | B | B | B | E | E | B | B | E | E | B | B | B | B | B | E | B | E | E | B | E | B | B | B | B | B | E | E | E | E | E | E | E | E | B | E | B | B | B | B | B | B | B | B | E | B | B | B | E | B | B | E | E | E | B | E | B | B | E |
121-158: |
B | E | B | B | E | B | B | B | B | B | B | B | B | B | B | B | E | B | B | E | B | B | E | B | E | E | E | E | E | E | E | E | E | E | E | E | E | E |
|
| e(Exposed): 85(53.8%) | b(Buried): 73(46.2%) |
1-60: |
T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | 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 |
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 |
121-158: |
N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | N | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T |
|
| N(Normal): 124(78.48%) | T(Disorder): 34(21.52%) |
Predicted contact map and distance map
Predicted distance map
|
|
Predicted contact map
|
Probability to Precision
Long-Range |
Average probability |
Predicted precision |
TopL/5 |
0.96 |
95.01 |
TopL/2 |
0.86 |
90.36 |
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 |
97.47 |
TopL |
85.44 |
Top2L |
49.68 |
Alignment |
Number |
N |
2223 |
Neff |
262 |
|
Model comparsion
Model |
TM-score |
Model 2 |
0.8923 |
Model 3 |
0.8874 |
Model 4 |
0.8874 |
Model 5 |
0.8955 |
Average |
0.89065 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
6rfl |
0.47787 |
4con |
0.43835 |
4col |
0.43744 |
4coj |
0.43695 |
3wqb |
0.43671 |
|
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 |
98.73 |
TopL |
86.08 |
Top2L |
50.00 |
Alignment |
Number |
N |
2223 |
Neff |
262 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.8923 |
Model 3 |
0.8788 |
Model 4 |
0.9079 |
Model 5 |
0.8993 |
Average |
0.89458 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
6rfl |
0.47434 |
1zyz |
0.45103 |
7acn |
0.45066 |
1b0m |
0.45028 |
6acn |
0.44968 |
|
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 |
97.47 |
TopL |
84.81 |
Top2L |
49.05 |
Alignment |
Number |
N |
2223 |
Neff |
262 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.8874 |
Model 2 |
0.8788 |
Model 4 |
0.8579 |
Model 5 |
0.8706 |
Average |
0.87367 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
2yyj |
0.43822 |
2yym |
0.43673 |
1w0g |
0.42981 |
2yyl |
0.42979 |
4k9t |
0.42924 |
|
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 |
98.73 |
TopL |
85.44 |
Top2L |
50.32 |
Alignment |
Number |
N |
2223 |
Neff |
262 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.8874 |
Model 2 |
0.9079 |
Model 3 |
0.8579 |
Model 5 |
0.8917 |
Average |
0.88623 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
6rfl |
0.46798 |
6ueb |
0.43707 |
3q3u |
0.43609 |
6tb8 |
0.43600 |
4con |
0.43412 |
|
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 |
98.73 |
TopL |
85.44 |
Top2L |
50.63 |
Alignment |
Number |
N |
2223 |
Neff |
262 |
|
Model comparsion
Model |
TM-score |
Model 1 |
0.8955 |
Model 2 |
0.8993 |
Model 3 |
0.8706 |
Model 4 |
0.8917 |
Average |
0.88928 |
Radius Gyration
|
Similar pdbs
PDB |
TM-score |
3snp |
0.43735 |
5jlc |
0.43516 |
4con |
0.43464 |
6g71 |
0.43403 |
4coj |
0.43349 |
|
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.