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I-TASSER results for job id Rv3242c

[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
10.21 13 1ao0A 5GP Rep, Mult 54,115,181,182,183,185,186,187,188,189
20.12 7 1dbrA MG Rep, Mult 181,182,183
30.04 2 1qb7A MG Rep, Mult 104,181,189
40.03 2 1bd4C URA Rep, Mult 101,103,193,194,205,206,207
50.03 2 3jueA ZN Rep, Mult 10,13,21,24
60.03 2 3ozfC PO4 Rep, Mult 185,186,187,188,189
70.03 2 1jlrB GTP Rep, Mult 86,89,95,96,97,98,129,133,175

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
10.0663dmpD0.5303.750.1610.7002.4.2.9NA
20.0601dozA0.5065.270.0450.8124.99.1.1NA
30.0601ct9A0.4964.540.0570.7236.3.5.487
40.0601oreA0.5034.040.1120.6672.4.2.7NA
50.0601fsgA0.5144.000.1440.7002.4.2.8180,186
60.0601hrkA0.5044.940.0840.7894.99.1.1192
70.0601o5oD0.5343.240.1670.6762.4.2.9NA
80.0601pwhA0.4974.080.0820.6904.3.1.17,4.3.1.19NA
90.0601o5oA0.5243.510.1600.6762.4.2.9144
100.0603dezA0.5063.870.1090.6482.4.2.10NA
110.0602c8jA0.5095.020.0460.7934.99.1.1NA
120.0602e55D0.5093.490.1560.6622.4.2.9109,118
130.0601g2qA0.5123.960.1230.6812.4.2.7113
140.0601p5jA0.4565.420.0490.7514.3.1.17NA
150.0601cjbC0.5133.580.0890.6712.4.2.8NA
160.0601ve5A0.4874.270.1060.7004.3.1.19NA
170.0601y7lA0.4864.300.0620.6902.5.1.47NA
180.0601ve5D0.4884.270.1060.7004.3.1.19NA
190.0601mzvA0.5424.360.1230.7512.4.2.7159
200.0601f2dA0.5024.850.0610.7753.5.99.7NA

(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
00.070.5403.460.150.703dmpA GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0005525 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0044206
10.070.5403.890.120.711jlrA GO:0000166 GO:0003824 GO:0004845 GO:0005525 GO:0008152 GO:0016740 GO:0016757 GO:0044206
20.070.5163.650.170.671v9sB GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0005525 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0044206
30.070.5293.910.170.705e38D GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0004849 GO:0005525 GO:0005829 GO:0005886 GO:0006206 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0043097 GO:0044206
40.070.5163.550.130.672ehjA GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0004849 GO:0005525 GO:0005829 GO:0006206 GO:0006223 GO:0008152 GO:0008655 GO:0016020 GO:0016740 GO:0016757 GO:0042802 GO:0043097 GO:0044206
50.070.5193.930.110.703g6wA GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0004849 GO:0005525 GO:0005829 GO:0006206 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0043097 GO:0044206
60.070.5253.610.160.671i5eA GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0005525 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0044206
70.070.5243.510.160.681o5oA GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0004849 GO:0005525 GO:0005829 GO:0006206 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0043097 GO:0044206
80.070.5113.460.150.662e55A GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0004849 GO:0005525 GO:0005829 GO:0006206 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0043097 GO:0044206
90.070.4005.370.060.664lygB GO:0000166 GO:0000287 GO:0002189 GO:0004749 GO:0005524 GO:0005829 GO:0006015 GO:0006144 GO:0006164 GO:0006167 GO:0006221 GO:0007399 GO:0009156 GO:0009165 GO:0016208 GO:0016301 GO:0016310 GO:0016740 GO:0019003 GO:0019693 GO:0030246 GO:0031100 GO:0034418 GO:0042803 GO:0043234 GO:0043531 GO:0044249 GO:0046101 GO:0046872
100.070.4784.130.150.654s2uA GO:0000166 GO:0000287 GO:0004749 GO:0005524 GO:0005737 GO:0005829 GO:0006015 GO:0009156 GO:0009165 GO:0016301 GO:0016310 GO:0016740 GO:0042301 GO:0044249 GO:0046872
110.070.4524.210.140.623dahC GO:0000166 GO:0000287 GO:0004749 GO:0005524 GO:0005737 GO:0006015 GO:0009156 GO:0009165 GO:0016301 GO:0016310 GO:0016740 GO:0044249 GO:0046872
120.060.4304.110.130.615e38B GO:0000166 GO:0000287 GO:0003824 GO:0004845 GO:0004849 GO:0005525 GO:0005829 GO:0005886 GO:0006206 GO:0006223 GO:0008152 GO:0008655 GO:0016740 GO:0016757 GO:0043097 GO:0044206
130.060.4814.150.140.651l1qA GO:0009116 GO:0016740 GO:0016757
140.060.4024.880.070.612cd9A GO:0000166 GO:0005534 GO:0005536 GO:0005975 GO:0008270 GO:0016491 GO:0019151 GO:0019595 GO:0033222 GO:0033498 GO:0046872 GO:0047910 GO:0047936 GO:0051262 GO:0055114 GO:0070401 GO:0070403
150.060.3835.920.060.661jqnA GO:0000287 GO:0003824 GO:0005829 GO:0006099 GO:0006107 GO:0008152 GO:0008964 GO:0015977 GO:0016829
160.060.3535.750.040.633zdrA GO:0004022 GO:0006066 GO:0008152 GO:0008774 GO:0015976 GO:0016491 GO:0016620 GO:0046872 GO:0055114
170.060.2796.270.040.514htgA GO:0004418 GO:0006779 GO:0006782 GO:0009507 GO:0009536 GO:0009570 GO:0009941 GO:0015995 GO:0016740 GO:0018160 GO:0033014 GO:0042742 GO:0048046
180.060.4843.160.120.602igbB GO:0003723 GO:0004845 GO:0006351 GO:0006353 GO:0006355 GO:0009116 GO:0016740 GO:0016757


Consensus prediction of GO terms
 
Molecular Function GO:0035639 GO:0032550 GO:0032561 GO:0016763 GO:0046872
GO-Score 0.58 0.58 0.58 0.58 0.48
Biological Processes GO:0010138 GO:0043097 GO:0006222 GO:0043100 GO:0046107
GO-Score 0.58 0.58 0.58 0.48 0.48
Cellular Component GO:0005829 GO:0005886
GO-Score 0.13 0.07

(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.