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I-TASSER results for job id Rv2304c

[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
10.12 3 3mkfA MA4 Rep, Mult 10,17,43,46
20.08 2 3f6gB ILE Rep, Mult 30,44,45,46,50,53,54,55
30.08 2 5hhjB GLY Rep, Mult 45,48
40.04 1 3a0bk CLA Rep, Mult 39,43
50.04 1 2pe7A PDC Rep, Mult 38,39
60.04 1 1rtdA MG Rep, Mult 4,5,6
70.04 1 3tmhG III Rep, Mult 41,45
80.04 1 9papA MOH Rep, Mult 57,64,65
90.04 1 1ozbB III Rep, Mult 18,19,20,22,30

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
10.0602yzeH0.5053.690.0920.8701.7.3.345
20.0601chkA0.5133.700.1010.8843.2.1.132NA
30.0601c0mA0.5223.480.0820.8842.7.7.49NA
40.0602d4wA0.5493.250.0880.8992.7.1.30NA
50.0601i39A0.5373.160.0650.8993.1.26.450
60.0603c6tA0.5153.070.1690.8552.7.7.49,2.7.7.7NA
70.0601p4kA0.5193.660.0300.9423.5.1.2668
80.0601ayyD0.5063.900.0430.9273.5.1.26NA
90.0601nbwA0.5183.850.0760.9134.2.1.30NA
100.0601ayqB0.5422.860.1160.8121.1.1.85NA
110.0602ap1A0.5433.100.0160.8842.7.1.59NA
120.0603ifrA0.5193.420.0650.8992.7.1.176,26,48,64
130.0601mq0A0.4723.720.0780.8703.5.4.5NA
140.0602gl9D0.5104.000.0430.9423.5.1.2642
150.0603hz6A0.5603.400.0950.9132.7.1.1730
160.0601vaxA0.4943.910.1090.8991.7.3.3NA
170.0601vsdA0.5173.230.1020.8552.7.7.49NA
180.0601ekeB0.5143.490.0790.9133.1.26.450,52
190.0601v4tA0.4273.530.0190.7682.7.1.2,2.7.1.1NA

(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
00.140.5063.520.050.883h3nO GO:0000166 GO:0004370 GO:0005524 GO:0005975 GO:0006071 GO:0006072 GO:0016301 GO:0016310 GO:0016740 GO:0016773 GO:0019563
10.070.5693.030.080.874ijnA GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0005737 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
20.070.5702.980.050.884bc2A GO:0000166 GO:0004856 GO:0005524 GO:0005737 GO:0005829 GO:0005975 GO:0005997 GO:0005998 GO:0006091 GO:0016301 GO:0016310 GO:0016740 GO:0016773 GO:0019640 GO:0042732 GO:0046835 GO:0070062
30.070.5533.280.070.874dq8A GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0005737 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
40.070.5642.990.070.874iz9A GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0005737 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
50.070.5663.190.050.914h0pA GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
60.070.5413.180.060.883khyA GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0005737 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
70.070.5593.370.080.913kzbA GO:0000166 GO:0004856 GO:0005975 GO:0016301 GO:0016310 GO:0016740 GO:0016773 GO:0046835
80.070.4383.580.000.812iirA GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0005737 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
90.070.5543.180.020.902e1yA GO:0000166 GO:0005524 GO:0005622 GO:0006082 GO:0008152 GO:0008980 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872 GO:0070689
100.070.5193.420.070.903ifrA GO:0004856 GO:0005975 GO:0016301 GO:0016310 GO:0016740 GO:0016773 GO:0046835
110.070.4993.770.030.911tuuA GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0005737 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
120.070.5363.420.050.874h0oB GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872
130.070.5363.320.130.903wxiA GO:0000166 GO:0004370 GO:0005975 GO:0006072 GO:0016301 GO:0016310 GO:0016740 GO:0016773
140.070.5493.250.090.902d4wA
150.070.5153.430.030.913gbtA GO:0000166 GO:0005524 GO:0005975 GO:0016301 GO:0016310 GO:0016740 GO:0016773 GO:0046316
160.070.4493.890.100.883l0qB GO:0005975 GO:0016301 GO:0016310 GO:0016740 GO:0016773
170.070.4813.850.040.903slcA GO:0000166 GO:0000287 GO:0005524 GO:0005622 GO:0005737 GO:0006082 GO:0006085 GO:0008152 GO:0008776 GO:0008980 GO:0016301 GO:0016310 GO:0016740 GO:0016774 GO:0046872 GO:0047900
180.070.4104.150.040.844bvpA GO:0000166 GO:0016787 GO:0046872


Consensus prediction of GO terms
 
Molecular Function GO:0043169 GO:0016301 GO:0005524
GO-Score 0.37 0.34 0.34
Biological Processes GO:0006084 GO:0044763 GO:0071616 GO:0044281 GO:0016310 GO:0044238
GO-Score 0.37 0.37 0.37 0.37 0.34 0.34
Cellular Component GO:0044424
GO-Score 0.48

(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.