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I-TASSER results for job id Rv2806

[Click on result.tar.bz2 to download the tarball file including all modelling results listed on this page]

 Input Sequence in FASTA format
 Predicted Secondary Structure
 Predicted Solvent Accessibility
 Predicted Normalized B-facotr
 Top 10 threading templates used by I-TASSER
 Top 5 final models predicted by I-TASSER

(For each target, I-TASSER simulations generate a large ensemble of structural conformations, called decoys. To select the final models, I-TASSER uses the SPICKER program to cluster all the decoys based on the pair-wise structure similarity, and reports up to five models which corresponds to the five largest structure clusters. The confidence of each model is quantitatively measured by C-score that is calculated based on the significance of threading template alignments and the convergence parameters of the structure assembly simulations. C-score is typically in the range of [-5, 2], where a C-score of higher value signifies a model with a high confidence and vice-versa. TM-score and RMSD are estimated based on C-score and protein length following the correlation observed between these qualities. Since the top 5 models are ranked by the cluster size, it is possible that the lower-rank models have a higher C-score in rare cases. Although the first model has a better quality in most cases, it is also possible that the lower-rank models have a better quality than the higher-rank models as seen in our benchmark tests. If the I-TASSER simulations converge, it is possible to have less than 5 clusters generated. This is usually an indication that the models have a good quality because of the converged simulations.)
 Proteins structureally close to the target in PDB (as identified by TM-align

(After the structure assembly simulation, I-TASSER uses the TM-align structural alignment program to match the first I-TASSER model to all structures in the PDB library. This section reports the top 10 proteins from the PDB that have the closest structural similarity, i.e. the highest TM-score, to the predicted I-TASSER model. Due to the structural similarity, these proteins often have similar function to the target. However, users are encouraged to use the data in the next section 'Predicted function using COACH' to infer the function of the target protein, since COACH has been extensively trained to derive biological functions from multi-source of sequence and structure features which has on average a higher accuracy than the function annotations derived only from the global structure comparison.)


 Predicted function using COACH

(This section reports biological annotations of the target protein by COACH based on the I-TASSER structure prediction. COACH is a meta-server approach that combines multiple function annotation results from the COFACTOR, TM-SITE and S-SITE programs.)


  Ligand binding sites

Rank C-score Cluster
size
PDB
Hit
Lig
Name
Download
Complex
Ligand Binding Site Residues
10.13 13 2q7mF 2CS Rep, Mult 15,17,18,19,21
20.10 11 4xk8L III Rep, Mult 24,27,28
30.08 8 1s5lT CLA Rep, Mult 20,23
40.06 6 5e7cH CLA Rep, Mult 11,14,15,18
50.04 4 1sqpE PLX Rep, Mult 7,10
60.03 3 3q4gA CA Rep, Mult 39,41
70.02 2 2dyrQ PGV Rep, Mult 10,13
80.02 2 5d56B 78M Rep, Mult 13,16,20
90.01 1 3f1f8 MG Rep, Mult 56,57,58,59,60
100.01 1 1cnoA HEC Rep, Mult 48,58
110.01 1 1c0wB QNA Rep, Mult 8,11,52
120.01 1 3ff6A RCP Rep, Mult 39,42,45
130.01 1 1px7B CA Rep, Mult 2,6
140.01 1 3nwyB GTP Rep, Mult 32,40,41,43,44,45,52,59,62
150.01 1 2k3mA MTN Rep, Mult 28,58
160.01 1 2x6pB ZN Rep, Mult 26,30

Download the all possible binding ligands and detailed prediction summary.
Download the templates clustering results.
(a)C-score is the confidence score of the prediction. C-score ranges [0-1], where a higher score indicates a more reliable prediction.
(b)Cluster size is the total number of templates in a cluster.
(c)Lig Name is name of possible binding ligand. Click the name to view its information in the BioLiP database.
(d)Rep is a single complex structure with the most representative ligand in the cluster, i.e., the one listed in the Lig Name column.
Mult is the complex structures with all potential binding ligands in the cluster.

  Enzyme Commission (EC) numbers and active sites

RankCscoreECPDB
Hit
TM-scoreRMSDaIDENaCovEC NumberActive Site Residues
10.0603dojA0.5403.300.0480.8411.1.1.79NA
20.0604matA0.5483.500.0320.8733.4.11.18NA
30.0603l24A0.5553.070.0670.8413.1.8.2,3.4.13.9,3.1.8.1NA
40.0601wy2A0.5523.160.0180.8413.4.13.9NA
50.0601q2rA0.5402.830.0800.7782.4.2.29NA
60.0602b3lA0.5543.380.0170.8573.4.11.18NA
70.0601y1nA0.5343.310.0820.8893.4.11.1827
80.0601y5xD0.5443.110.0770.7942.4.2.29NA
90.0603dpgA0.5773.420.0970.8893.1.21.4NA
100.0601cevA0.5453.300.1270.8733.5.3.1NA
110.0602aebA0.5553.430.1070.8893.5.3.1NA
120.0601chmA0.5572.630.0170.8253.5.3.3NA
130.0601myrA0.5402.320.0830.7623.2.1.14735,44
140.0603gzkA0.5433.550.0160.8253.2.1.4NA
150.0603bkkA0.5682.420.0600.7943.4.15.151
160.0602jifA0.5413.000.0560.8091.3.99.-NA
170.0601pq3A0.5423.330.0710.8733.5.3.1NA
180.0603bllA0.5363.050.0780.8092.4.2.29NA
190.0601pv9A0.5393.000.0580.8093.4.13.9NA

(a)CscoreEC is the confidence score for the EC number prediction. CscoreEC values range in between [0-1];
where a higher score indicates a more reliable EC number prediction.
(b)TM-score is a measure of global structural similarity between query and template protein.
(c)RMSDa is the RMSD between residues that are structurally aligned by TM-align.
(d)IDENa is the percentage sequence identity in the structurally aligned region.
(e)Cov represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided
by length of the query protein.

  Gene Ontology (GO) terms

Homologous GO templates in PDB 
RankCscoreGOTM-scoreRMSDaIDENaCovPDB HitAssociated GO Terms
00.070.5972.550.050.874k1cA GO:0000324 GO:0000329 GO:0005773 GO:0005774 GO:0006810 GO:0006811 GO:0006812 GO:0006816 GO:0006828 GO:0006874 GO:0008324 GO:0015085 GO:0015369 GO:0015386 GO:0016020 GO:0016021 GO:0046872 GO:0055085 GO:0070588 GO:0071805 GO:0098655
10.070.5743.170.100.891e1dA GO:0003824 GO:0005737 GO:0016491 GO:0016661 GO:0046872 GO:0050418 GO:0051536 GO:0051539 GO:0055114
20.070.5802.780.070.844p3gA GO:0003723 GO:0005047 GO:0005737 GO:0005786 GO:0006614 GO:0008312 GO:0030529 GO:0030942
30.070.5742.990.070.894g1uA GO:0005215 GO:0005886 GO:0006810 GO:0006811 GO:0016020 GO:0016021 GO:0055072
40.070.5813.390.060.951gnlA GO:0003824 GO:0005737 GO:0016491 GO:0016661 GO:0046872 GO:0050418 GO:0051536 GO:0051539 GO:0055114
50.070.4972.980.050.814dblA GO:0005215 GO:0005886 GO:0005887 GO:0006810 GO:0015235 GO:0015420 GO:0015889 GO:0016020 GO:0016021 GO:0035461 GO:0043190
60.070.5642.530.080.814p3fB GO:0003723 GO:0005047 GO:0005634 GO:0005730 GO:0005737 GO:0005783 GO:0005786 GO:0005829 GO:0005840 GO:0005925 GO:0006614 GO:0008312 GO:0030529 GO:0030942 GO:0042493 GO:0044822 GO:0045047
70.070.5643.130.070.894kjrA GO:0005886 GO:0005887 GO:0006810 GO:0006811 GO:0006812 GO:0006816 GO:0008324 GO:0015297 GO:0015369 GO:0016020 GO:0016021 GO:0055085 GO:0070588
80.070.5773.420.100.893dpgA GO:0003677 GO:0009036 GO:0009307 GO:0046872
90.070.4374.090.090.845euhA GO:0016020 GO:0016021
100.070.4823.200.050.751cfrA GO:0003677 GO:0004518 GO:0004519 GO:0009036 GO:0009307 GO:0016787 GO:0046872 GO:0090305
110.070.4993.230.060.731knvB GO:0003677 GO:0004519 GO:0009036 GO:0009307 GO:0090305
120.070.4233.950.070.784hz5A GO:0000287 GO:0003677 GO:0003918 GO:0005524 GO:0005694 GO:0006265 GO:0007059 GO:0016853 GO:0046872
130.060.4293.320.040.763j6b1 GO:0003735 GO:0005739 GO:0005762 GO:0005840 GO:0030529 GO:0032543
140.060.3763.880.050.734o50A GO:0003824 GO:0004807 GO:0005829 GO:0006094 GO:0006096 GO:0006098 GO:0008152 GO:0016853 GO:0019563 GO:0046166
150.060.5833.220.080.922nq2A GO:0005215 GO:0005886 GO:0006810 GO:0016020 GO:0016021
160.060.3312.460.050.444b0aA GO:0000126 GO:0000500 GO:0000979 GO:0001016 GO:0001026 GO:0001075 GO:0001102 GO:0001179 GO:0001186 GO:0003677 GO:0003682 GO:0004402 GO:0005634 GO:0005654 GO:0005669 GO:0005829 GO:0006351 GO:0006352 GO:0006355 GO:0006356 GO:0006359 GO:0006366 GO:0006383 GO:0006385 GO:0008301 GO:0016568 GO:0016573 GO:0016740 GO:0016746 GO:0017025 GO:0032947 GO:0042790 GO:0051123 GO:0070860 GO:0070893 GO:0070898
170.060.4383.740.000.731zp3B GO:0004489 GO:0005829 GO:0006555 GO:0006730 GO:0008652 GO:0009086 GO:0016491 GO:0035999 GO:0046654 GO:0051289 GO:0055114 GO:0071949
180.060.3723.890.100.681jj7A GO:0000166 GO:0002250 GO:0002376 GO:0002474 GO:0002481 GO:0002485 GO:0002489 GO:0002591 GO:0005524 GO:0005739 GO:0005783 GO:0005789 GO:0006810 GO:0006952 GO:0015031 GO:0015197 GO:0015440 GO:0015833 GO:0016020 GO:0016021 GO:0016032 GO:0016887 GO:0019060 GO:0019885 GO:0023029 GO:0030176 GO:0042270 GO:0042287 GO:0042288 GO:0042605 GO:0042626 GO:0042803 GO:0042825 GO:0043231 GO:0043531 GO:0043657 GO:0046967 GO:0046978 GO:0046979 GO:0046980 GO:0046982 GO:0055085


Consensus prediction of GO terms
 
Molecular Function GO:0043169
GO-Score 0.37
Biological Processes GO:0055114 GO:0006874 GO:0006614 GO:0055072 GO:0006828 GO:0070588 GO:0071805
GO-Score 0.13 0.07 0.07 0.07 0.07 0.07 0.07
Cellular Component GO:0044424
GO-Score 0.37

(a)CscoreGO is a combined measure for evaluating global and local similarity between query and template protein. It's range is [0-1] and higher values indicate more confident predictions.
(b)TM-score is a measure of global structural similarity between query and template protein.
(c)RMSDa is the RMSD between residues that are structurally aligned by TM-align.
(d)IDENa is the percentage sequence identity in the structurally aligned region.
(e)Cov represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.
(f)The second table shows a consensus GO terms amongst the top scoring templates. The GO-Score associated with each prediction is defined as the average weight of the GO term, where the weights are assigned based on CscoreGO of the template.

[Click on result.tar.bz2 to download the tarball file including all modelling results listed on this page]



Please cite the following articles when you use the I-TASSER server:
1. J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8, 2015.
2. J Yang, Y Zhang. I-TASSER server: new development for protein structure and function predictions, Nucleic Acids Research, 43: W174-W181, 2015.
3.A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738, 2010.
4.Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, 9: 40, 2008.