P0ADU7
multicom
P0ADU7
full_length
P0ADU7
Results of Structure Prediction for Target Name: P0ADU7 ( Click 
)
Domain Boundary prediction ( View )
>P0ADU7: 1-140
| 1-60: |
M | K | R | Y | T | P | D | F | P | E | M | M | R | L | C | E | M | N | F | S | Q | L | R | R | L | L | P | R | N | D | A | P | G | E | T | V | S | Y | Q | V | A | N | A | Q | Y | R | L | T | I | V | E | S | T | R | Y | T | T | L | V | T |
| 61-119: |
I | E | Q | T | A | P | A | I | S | Y | W | S | L | P | S | M | T | V | R | L | Y | H | D | A | M | V | A | E | V | C | S | S | Q | Q | I | F | R | F | K | A | R | Y | D | Y | P | N | K | K | L | H | Q | R | D | E | K | H | Q | I | N | Q |
| 121-140: |
F | L | A | D | W | L | R | Y | C | L | A | H | G | A | M | A | I | P | V | Y |
| 1-60: |
C | C | C | C | C | C | C | H | H | H | H | H | H | H | H | H | H | H | H | H | H | H | H | H | H | C | C | C | C | C | C | C | C | C | E | E | E | E | E | C | C | C | C | E | E | E | E | E | E | E | E | E | C | C | E | E | E | E | E | E |
| 61-119: |
E | E | E | C | C | C | C | C | C | C | C | C | C | C | C | E | E | E | E | E | E | E | C | H | H | E | E | E | E | E | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | H | H | H | C | C | C | C | H | H | H | H | H | H | H |
| 121-140: |
H | H | H | H | H | H | H | H | H | H | H | C | C | C | C | C | C | C | C | C |
| |
| | H(Helix): 41(29.29%) | E(Strand): 35(25%) | C(Coil): 64(45.71%) |
| 1-60: |
E | E | E | B | E | E | E | B | E | E | B | B | E | B | B | E | E | B | B | E | B | B | B | E | B | B | E | E | B | E | E | E | E | E | E | B | E | B | E | B | E | E | B | E | B | B | B | E | B | B | E | E | B | E | B | B | B | B | B | B |
| 61-119: |
B | E | B | E | E | E | E | B | E | E | B | E | E | B | E | B | B | B | B | B | B | B | B | B | B | B | B | B | B | B | B | B | E | E | E | E | E | B | E | B | E | B | E | B | E | E | E | E | B | E | B | E | E | B | E | B | B | B | B | E |
| 121-140: |
B | B | B | E | B | B | E | B | B | B | E | E | E | E | E | E | E | E | B | E |
| |
| | e(Exposed): 68(48.57%) | b(Buried): 72(51.43%) |
| 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 |
| 121-140: |
N | N | N | N | N | N | N | N | N | N | N | N | N | T | T | T | T | T | T | T |
| |
| | N(Normal): 132(94.29%) | T(Disorder): 8(5.71%) |
Predicted contact map and distance map
|
Predicted distance map
|
|
Predicted contact map
|
Probability to Precision
| Long-Range |
Average probability |
Predicted precision |
| TopL/5 |
0.90 |
89.94 |
| TopL/2 |
0.75 |
79.05 |
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 |
82.86 |
| TopL |
56.43 |
| Top2L |
35.36 |
| Alignment |
Number |
| N |
978 |
| Neff |
433 |
|
Model comparsion
| Model |
TM-score |
| Model 2 |
0.9718 |
| Model 3 |
0.7917 |
| Model 4 |
0.7891 |
| Model 5 |
0.9701 |
| Average |
0.88067 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 6nqz |
0.55364 |
| 1hu9 |
0.51731 |
| 3kvn |
0.51718 |
| 5ek8 |
0.51426 |
| 5eeo |
0.51313 |
|
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 |
82.86 |
| TopL |
57.86 |
| Top2L |
36.07 |
| Alignment |
Number |
| N |
978 |
| Neff |
433 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.9718 |
| Model 3 |
0.7888 |
| Model 4 |
0.7861 |
| Model 5 |
0.9539 |
| Average |
0.87515 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 6nqz |
0.55441 |
| 3kvn |
0.52067 |
| 4rl8 |
0.51731 |
| 5o65 |
0.51477 |
| 3fg3 |
0.51263 |
|
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 |
77.14 |
| TopL |
45.71 |
| Top2L |
22.86 |
| Alignment |
Number |
| N |
978 |
| Neff |
433 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.7917 |
| Model 2 |
0.7888 |
| Model 4 |
0.9796 |
| Model 5 |
0.7971 |
| Average |
0.83930 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 6nqz |
0.57692 |
| 1hu9 |
0.53899 |
| 1no3 |
0.53839 |
| 1n8q |
0.53806 |
| 1jnq |
0.53783 |
|
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 |
77.14 |
| TopL |
44.29 |
| Top2L |
23.21 |
| Alignment |
Number |
| N |
978 |
| Neff |
433 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.7891 |
| Model 2 |
0.7861 |
| Model 3 |
0.9796 |
| Model 5 |
0.7923 |
| Average |
0.83678 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 6nqz |
0.58288 |
| 1hu9 |
0.53489 |
| 1no3 |
0.53388 |
| 4qwt |
0.53313 |
| 3fg1 |
0.53294 |
|
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 |
84.29 |
| TopL |
58.57 |
| Top2L |
36.43 |
| Alignment |
Number |
| N |
978 |
| Neff |
433 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.9701 |
| Model 2 |
0.9539 |
| Model 3 |
0.7971 |
| Model 4 |
0.7923 |
| Average |
0.87835 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 6nqz |
0.54977 |
| 4qwt |
0.52023 |
| 3fg1 |
0.51967 |
| 3dy5 |
0.51942 |
| 3fg3 |
0.51936 |
|
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.
