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I-TASSER results for job id Rv3510c

[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 1 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
10.45 43 1k6wA FE Rep, Mult 6,8,145,180,233
20.06 6 2dvuA GRE Rep, Mult 8,21,145,233,236
30.05 5 4kirB MN Rep, Mult 6,113,115,145,180,233
40.03 3 2vc5B CO Rep, Mult 6,113,145,180,205,233
50.01 1 1gkp0 III Rep, Mult 125,126,133,163,166,167,170

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
10.0602z00A0.6953.390.1150.8453.5.2.3NA
20.0601xrtA0.6873.150.1300.8273.5.2.3232
30.0603griB0.6823.380.1380.8313.5.2.3NA
40.0601k1dA0.7253.590.1180.8963.5.2.-NA
50.0603giqA0.6963.350.1310.8533.5.1.8297,105,108,114
60.0601m7jA0.6843.570.1170.8563.5.1.81NA
70.0602ftyA0.7163.690.1230.8963.5.2.2NA
80.0601gkpA0.7383.550.1250.9063.5.2.2232
90.0603iarA0.6804.070.1040.8813.5.4.4180
100.0603ihnA0.6903.350.1120.8423.5.2.3NA
110.0601j5sA0.7094.090.1000.9285.3.1.12184
120.0602vr2A0.7473.430.1250.9063.5.2.2232
130.0603iacA0.6944.360.0850.9285.3.1.12NA
140.0601zzmA0.6783.210.1020.8093.1.21.-232
150.0601ie7C0.6673.540.1080.8313.5.1.5119
160.0603hm7B0.6973.620.0940.8563.5.2.5202
170.0602vunD0.7023.260.1220.8533.5.2.18NA
180.0602q01C0.7044.280.0710.9425.3.1.12230
190.0601a4lA0.6774.110.1000.8853.5.4.4180,183

(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
00.530.9281.310.240.973irsA GO:0016787
10.350.7223.770.170.913ij6A GO:0016787 GO:0046872
20.340.7703.660.240.944qroA GO:0016787 GO:0046872
30.310.7413.660.170.914eraA GO:0001760 GO:0006568 GO:0016787 GO:0046872 GO:1904984
40.290.7463.920.130.934hjwC GO:0001760 GO:0006568 GO:0016787 GO:0046872 GO:1904984
50.280.7463.880.140.934hk5D GO:0001760 GO:0006568 GO:0016787 GO:0046872 GO:1904984
60.280.7413.650.210.914ofcA GO:0001760 GO:0005829 GO:0006568 GO:0006569 GO:0008270 GO:0016787 GO:0016829 GO:0016831 GO:0046872 GO:0046874 GO:0051259 GO:0070062 GO:1904984 GO:1905004 GO:1905012
70.250.7363.960.180.954dziC GO:0016787
80.240.7473.710.200.934qrnA GO:0016787 GO:0046872
90.230.7473.620.200.914icmA GO:0016787 GO:0046872
100.190.7593.440.140.912f6kA GO:0016787 GO:0046872
110.150.7663.460.240.932dvtA GO:0016787 GO:0046872
120.140.7093.800.220.882gwgA GO:0016787 GO:0046872
130.130.7293.520.230.893nurA GO:0016787
140.070.5744.710.070.811bgaA GO:0000272 GO:0004553 GO:0005975 GO:0008152 GO:0008422 GO:0016787 GO:0016798 GO:0030245 GO:0102483
150.070.5413.780.100.703ve7A GO:0003824 GO:0004590 GO:0006207 GO:0008152 GO:0016829
160.060.4145.880.060.682d5lA GO:0004177 GO:0006508 GO:0008233 GO:0008236 GO:0016787
170.060.3996.260.050.672vn4A
180.060.3666.590.030.672c2xA GO:0000105 GO:0003824 GO:0004477 GO:0004488 GO:0005576 GO:0005829 GO:0005886 GO:0006164 GO:0006730 GO:0008152 GO:0008652 GO:0009086 GO:0009396 GO:0016491 GO:0016787 GO:0035999 GO:0040007 GO:0055114


Consensus prediction of GO terms
 
Molecular Function GO:0016787 GO:0046872 GO:0001760
GO-Score 0.90 0.79 0.51
Biological Processes GO:1904984 GO:0006568
GO-Score 0.51 0.51
Cellular Component
GO-Score

(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.