B2RH12
multicom
B2RH12
full_length
B2RH12
Results of Structure Prediction for Target Name: B2RH12 ( Click 
)
Domain Boundary prediction ( View )
>B2RH12: 1-139
| 1-60: |
M | D | I | Q | I | Q | G | Q | L | I | Q | I | L | P | L | N | S | G | V | G | K | A | S | G | K | E | W | K | K | Q | E | Y | I | L | E | T | L | D | Q | Y | P | R | K | I | H | F | S | V | W | G | D | R | I | D | P | S | Y | Q | V | G |
| 61-119: |
D | Q | V | T | V | W | V | D | I | E | S | R | E | F | N | G | R | W | Y | T | D | V | K | A | W | R | M | E | R | G | Y | I | G | Q | Q | G | Q | Q | Q | L | P | Q | E | M | P | A | A | G | A | P | T | F | P | T | Q | Q | P | S | M | P |
| 121-139: |
S | Q | P | A | T | G | W | A | S | N | A | D | A | G | D | D | L | P | F |
| 1-60: |
C | C | E | E | E | E | E | E | E | E | E | E | E | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | E | E | E | E | E | 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 | C |
| 61-119: |
C | E | E | E | E | E | E | E | E | C | C | C | C | C | C | C | C | E | E | C | E | E | E | E | E | E | E | E | E | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C |
| 121-139: |
C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C | C |
|
| | H(Helix): 0(0%) | E(Strand): 45(32.37%) | C(Coil): 94(67.63%) |
| 1-60: |
E | E | B | E | B | E | B | E | B | E | E | B | B | E | E | E | E | E | E | E | E | E | E | E | E | E | B | E | E | B | E | B | B | B | E | B | E | E | E | B | B | E | E | B | B | B | B | B | B | E | E | E | B | E | E | E | B | E | E | E |
| 61-119: |
E | E | B | E | B | E | B | E | B | E | B | E | E | B | E | E | E | B | B | B | E | B | B | B | B | E | B | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | B | E | E | E | E | E | E | E | E |
| 121-139: |
E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | E | B | E | E |
|
| | e(Exposed): 101(72.66%) | b(Buried): 38(27.34%) |
| 1-60: |
T | N | N | N | N | N | N | N | N | N | N | N | N | N | N | 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 | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T |
| 121-139: |
T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T | T |
|
| | N(Normal): 85(61.15%) | T(Disorder): 54(38.85%) |
Predicted contact map and distance map
|
Predicted distance map
|
|
Predicted contact map
|
Probability to Precision
| Long-Range |
Average probability |
Predicted precision |
| TopL/5 |
0.93 |
92.37 |
| TopL/2 |
0.86 |
90.16 |
Note: The linear model (Average probability vs Predicted precision) was trained on CASP14 dataset
|
Predicted Top 1 Tertiary structure
|
|
|
| Long-Range |
Precision |
| TopL/5 |
96.43 |
| TopL/2 |
92.86 |
| TopL |
67.63 |
| Top2L |
34.17 |
| Alignment |
Number |
| N |
21865 |
| Neff |
3221 |
|
Model comparsion
| Model |
TM-score |
| Model 2 |
0.7543 |
| Model 3 |
0.6766 |
| Model 4 |
0.6991 |
| Model 5 |
0.7164 |
| Average |
0.71160 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 6skl |
0.71827 |
| 5u8t |
0.70393 |
| 6mii |
0.69960 |
| 3jc7 |
0.68639 |
| 6rax |
0.68116 |
|
Note: This is multi-domain structure, check alignments and domain qualities in individual domains!
|
Predicted Top 2 Tertiary structure
|
|
|
| Long-Range |
Precision |
| TopL/5 |
96.43 |
| TopL/2 |
95.71 |
| TopL |
70.50 |
| Top2L |
35.61 |
| Alignment |
Number |
| N |
21865 |
| Neff |
3221 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.7543 |
| Model 3 |
0.6803 |
| Model 4 |
0.6994 |
| Model 5 |
0.7100 |
| Average |
0.71100 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 4fdg |
0.68021 |
| 6skl |
0.67422 |
| 5v8f |
0.67278 |
| 3f9v |
0.66520 |
| 4r7y |
0.65608 |
|
Note: This is multi-domain structure, check alignments and domain qualities in individual domains!
|
Predicted Top 3 Tertiary structure
|
|
|
| Long-Range |
Precision |
| TopL/5 |
96.43 |
| TopL/2 |
92.86 |
| TopL |
69.78 |
| Top2L |
35.97 |
| Alignment |
Number |
| N |
21865 |
| Neff |
3221 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.6766 |
| Model 2 |
0.6803 |
| Model 4 |
0.6714 |
| Model 5 |
0.6672 |
| Average |
0.67388 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 6skl |
0.62988 |
| 3jc5 |
0.62116 |
| 6mii |
0.61386 |
| 5u8t |
0.61263 |
| 6raw |
0.61191 |
|
Note: This is multi-domain structure, check alignments and domain qualities in individual domains!
|
Predicted Top 4 Tertiary structure
|
|
|
| Long-Range |
Precision |
| TopL/5 |
96.43 |
| TopL/2 |
92.86 |
| TopL |
69.06 |
| Top2L |
34.89 |
| Alignment |
Number |
| N |
21865 |
| Neff |
3221 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.6991 |
| Model 2 |
0.6994 |
| Model 3 |
0.6714 |
| Model 5 |
0.7100 |
| Average |
0.69498 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 4fdg |
0.66918 |
| 4r7y |
0.66820 |
| 3f9v |
0.65018 |
| 3jc7 |
0.64687 |
| 6skl |
0.63782 |
|
Note: This is multi-domain structure, check alignments and domain qualities in individual domains!
|
Predicted Top 5 Tertiary structure
|
|
|
| Long-Range |
Precision |
| TopL/5 |
96.43 |
| TopL/2 |
92.86 |
| TopL |
67.63 |
| Top2L |
34.89 |
| Alignment |
Number |
| N |
21865 |
| Neff |
3221 |
|
Model comparsion
| Model |
TM-score |
| Model 1 |
0.7164 |
| Model 2 |
0.7100 |
| Model 3 |
0.6672 |
| Model 4 |
0.7100 |
| Average |
0.70090 |
Radius Gyration
|
Similar pdbs
| PDB |
TM-score |
| 4r7y |
0.66927 |
| 4fdg |
0.66855 |
| 6mii |
0.66830 |
| 5v8f |
0.66673 |
| 3f9v |
0.66429 |
|
Note: This is multi-domain structure, check alignments and domain qualities in individual domains!
|
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.
