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I-TASSER results for job id Rv2608

[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 3 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
10.04 2 2jstB HLT Rep, Mult 31,34,69
20.04 2 1oaoA SF4 Rep, Mult 118,126,143,146,530
30.04 2 3e6sA FE Rep, Mult 98,334
40.02 1 2ww8A MG Rep, Mult 355,357,525
50.02 1 3c9iB XE Rep, Mult 165,180
60.02 1 4o9uE NAP Rep, Mult 309,312
70.02 1 2ojvA UUU Rep, Mult 119,123,147
80.02 1 2b9sB NUC Rep, Mult 357,359
90.02 1 2z8yD SF4 Rep, Mult 311,313,314,317,335
100.02 1 1yo8A CA Rep, Mult 255,257,277,279,282,283,284
110.02 1 1n38A CH1 Rep, Mult 373,374,383,384,385,386
120.02 1 4b2nA HEM Rep, Mult 298,390,391,394,395,423,427,428,430,484,485,486,487,489,498,499,500,507,511,512
130.02 1 3cu2A CA Rep, Mult 316,318
140.02 1 2g38B MN Rep, Mult 149,152,153
150.02 1 1cprA ZN Rep, Mult 32,36
160.02 1 2z8yD SF4 Rep, Mult 218,219,241,243
170.02 1 3huzP MG Rep, Mult 192,194
180.02 1 2axtM CLA Rep, Mult 97,101
190.02 1 2z8xA CA Rep, Mult 201,217,225,227
200.02 1 4xgcC III Rep, Mult 89,90

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
10.0603hkzJ0.3388.270.0300.5762.7.7.6213
20.0601llwA0.3277.650.0400.5211.4.7.1NA
30.0602vdcF0.3127.900.0440.5071.4.1.13301
40.0601n1hA0.3338.140.0500.5672.7.7.48NA
50.0603ffzA0.3157.710.0580.5093.4.24.69NA
60.0602eabA0.3447.930.0360.5663.2.1.63NA
70.0602ckjA0.3127.950.0480.5191.17.1.4,1.17.3.2293
80.0602vhdB0.3154.260.0490.3721.11.1.5197
90.0601g8kE0.2918.020.0520.4841.20.98.1NA
100.0601mo7A0.1715.930.0330.2343.6.3.9112
110.0601dgjA0.3197.840.0450.5241.2.-.-NA
120.0601t3tA0.3507.860.0560.5796.3.5.3NA
130.0602vhdA0.3154.360.0570.3761.11.1.531
140.0602z8yD0.2978.020.0620.4951.2.7.4,1.2.99.2NA
150.0601ea0A0.3387.880.0390.5601.4.1.13NA
160.0601hi8A0.3227.790.0330.5242.7.7.48145
170.0603lxuX0.3187.790.0530.5223.4.14.106,153,199
180.0601e1cA0.3157.920.0520.5265.4.99.2NA
190.0602vycA0.3167.790.0480.5214.1.1.19278

(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
00.180.8482.990.070.934b2nA GO:0009055 GO:0020037 GO:0046872
10.060.3497.680.080.572e9eA GO:0004601 GO:0006979 GO:0018969 GO:0020037 GO:0036393 GO:0042742 GO:0046872 GO:0055114 GO:0098869
20.060.3297.320.030.524kvjA GO:0004601 GO:0006979 GO:0020037 GO:0046872 GO:0055114 GO:0098869
30.060.3177.570.050.514ejxD GO:0001878 GO:0002149 GO:0002679 GO:0003682 GO:0004601 GO:0005615 GO:0005634 GO:0005739 GO:0005764 GO:0006952 GO:0006979 GO:0007568 GO:0008201 GO:0009612 GO:0016491 GO:0019430 GO:0020037 GO:0030141 GO:0032094 GO:0032496 GO:0034374 GO:0042582 GO:0042744 GO:0043066 GO:0044130 GO:0046872 GO:0050832 GO:0055114 GO:0070062 GO:1990268
40.060.3507.840.040.584lgyA GO:0000166 GO:0004642 GO:0005524 GO:0005737 GO:0006164 GO:0006189 GO:0006541 GO:0009156 GO:0016874 GO:0046872
50.060.2807.790.040.465f1aA GO:0001516 GO:0001525 GO:0004601 GO:0004666 GO:0005634 GO:0005737 GO:0005783 GO:0005788 GO:0005789 GO:0005901 GO:0006629 GO:0006631 GO:0006633 GO:0006693 GO:0006769 GO:0006928 GO:0006954 GO:0006979 GO:0007566 GO:0007612 GO:0007613 GO:0008217 GO:0008284 GO:0008285 GO:0008289 GO:0009314 GO:0009750 GO:0010033 GO:0010042 GO:0010226 GO:0010243 GO:0010575 GO:0010942 GO:0014070 GO:0016020 GO:0016491 GO:0016702 GO:0019233 GO:0019371 GO:0019372 GO:0019899 GO:0020037 GO:0030282 GO:0030728 GO:0031090 GO:0031394 GO:0031622 GO:0031915 GO:0032227 GO:0032355 GO:0032496 GO:0033280 GO:0034097 GO:0034612 GO:0034644 GO:0035633 GO:0042127 GO:0042346 GO:0042493 GO:0042633 GO:0042803 GO:0043005 GO:0043065 GO:0043231 GO:0043234 GO:0045429 GO:0045786 GO:0045907 GO:0045986 GO:0045987 GO:0046697 GO:0046872 GO:0048661 GO:0050473 GO:0050727 GO:0050873 GO:0051213 GO:0051384 GO:0051926 GO:0051968 GO:0055114 GO:0070542 GO:0071260 GO:0071318 GO:0071456 GO:0071498 GO:0071636 GO:0090050 GO:0090271 GO:0090336 GO:0090362 GO:0098869
60.060.2967.830.040.483ikmD GO:0002020 GO:0003676 GO:0003677 GO:0003682 GO:0003887 GO:0005739 GO:0005760 GO:0006259 GO:0006260 GO:0006261 GO:0006264 GO:0006287 GO:0007568 GO:0008408 GO:0009416 GO:0010332 GO:0016740 GO:0016779 GO:0042645 GO:0043195 GO:0043234 GO:0055093 GO:0070062 GO:0071333 GO:0071897 GO:0090305
70.060.2887.700.040.464rs0A GO:0001516 GO:0001525 GO:0004601 GO:0004666 GO:0005737 GO:0005783 GO:0005789 GO:0005901 GO:0006629 GO:0006631 GO:0006633 GO:0006693 GO:0006954 GO:0006979 GO:0007566 GO:0007612 GO:0007613 GO:0008217 GO:0008284 GO:0008285 GO:0008289 GO:0009314 GO:0009750 GO:0010033 GO:0010042 GO:0010226 GO:0010243 GO:0010575 GO:0010942 GO:0014070 GO:0016020 GO:0016491 GO:0016702 GO:0019233 GO:0019371 GO:0019899 GO:0020037 GO:0030216 GO:0030282 GO:0030728 GO:0031090 GO:0031622 GO:0031915 GO:0032227 GO:0032355 GO:0032496 GO:0033280 GO:0034097 GO:0034612 GO:0034644 GO:0035633 GO:0042127 GO:0042346 GO:0042493 GO:0042633 GO:0042803 GO:0043005 GO:0043065 GO:0043231 GO:0043234 GO:0045429 GO:0045786 GO:0045907 GO:0045986 GO:0045987 GO:0046697 GO:0046872 GO:0048661 GO:0050873 GO:0051213 GO:0051384 GO:0051926 GO:0051968 GO:0055114 GO:0070542 GO:0071260 GO:0071318 GO:0071456 GO:0071498 GO:0071636 GO:0090050 GO:0090271 GO:0090336 GO:0090362 GO:0098869
80.060.2797.990.040.461prhA GO:0001516 GO:0004601 GO:0004666 GO:0005634 GO:0005737 GO:0005783 GO:0005789 GO:0006629 GO:0006631 GO:0006633 GO:0006693 GO:0006954 GO:0006979 GO:0008217 GO:0016020 GO:0016021 GO:0016491 GO:0019371 GO:0020037 GO:0031090 GO:0043231 GO:0046872 GO:0051213 GO:0055114 GO:0098869
90.060.2388.600.050.432hruA GO:0000166 GO:0000287 GO:0004642 GO:0005524 GO:0005737 GO:0006164 GO:0006189 GO:0006541 GO:0009156 GO:0016874 GO:0046872
100.060.2617.530.080.423viuA GO:0000166 GO:0000287 GO:0004642 GO:0005524 GO:0005737 GO:0006164 GO:0006189 GO:0016874 GO:0046872
110.060.2457.030.040.371pmiA GO:0004476 GO:0005737 GO:0005975 GO:0008270 GO:0009298 GO:0016853 GO:0031505 GO:0046872
120.060.2467.160.060.384zhtA GO:0000166 GO:0003824 GO:0004553 GO:0005524 GO:0005737 GO:0005829 GO:0006045 GO:0006047 GO:0006054 GO:0007155 GO:0008152 GO:0008761 GO:0009384 GO:0016301 GO:0016310 GO:0016740 GO:0016787 GO:0046835 GO:0046872
130.060.2367.600.040.381r9jB GO:0003824 GO:0004802 GO:0008152 GO:0016740 GO:0046872
140.060.2187.380.020.341oc5A GO:0000272 GO:0004553 GO:0005576 GO:0005975 GO:0008152 GO:0016162 GO:0016787 GO:0016798 GO:0030245 GO:0030248
150.060.2388.440.050.422hs3A GO:0000166 GO:0000287 GO:0004642 GO:0005524 GO:0005737 GO:0006164 GO:0006189 GO:0006541 GO:0009156 GO:0016874 GO:0046872
160.060.2177.370.030.341a12A GO:0000082 GO:0000790 GO:0000794 GO:0003677 GO:0003682 GO:0005085 GO:0005087 GO:0005634 GO:0005654 GO:0005737 GO:0007049 GO:0007052 GO:0007059 GO:0007067 GO:0007088 GO:0016032 GO:0031492 GO:0031965 GO:0042393 GO:0043547 GO:0051225 GO:0051301
170.060.2036.740.060.304ufoA GO:0003824 GO:0016787
180.060.1876.360.030.271a5zA GO:0003824 GO:0004459 GO:0005737 GO:0005975 GO:0006096 GO:0016491 GO:0016616 GO:0019752 GO:0055114


Consensus prediction of GO terms
 
Molecular Function GO:0046872 GO:0016684 GO:0016209 GO:0020037
GO-Score 0.37 0.36 0.36 0.33
Biological Processes GO:0006950 GO:0044710
GO-Score 0.36 0.36
Cellular Component GO:0042582 GO:0005615 GO:0005739 GO:0005634 GO:0070062
GO-Score 0.06 0.06 0.06 0.06 0.06

(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.