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I-TASSER results for job id Rv3031

[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
10.28 2 3n98A BGC Rep, Mult 19,21,35,462,471
20.19 2 3n98A BGC Rep, Mult 260,261,262,268
30.14 2 2w63A BGC Rep, Mult 164,165,166,184,210
40.07 1 3bvtA MPD Rep, Mult 186,187,190,202

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
10.0601qhoA0.3706.210.0870.5253.2.1.133344
20.0601qbaA0.3725.420.0370.4873.2.1.52316
30.0603cmjA0.3855.330.0630.5063.2.1.21NA
40.0602e9lA0.3535.810.0600.4893.2.1.21NA
50.0602zoxA0.3835.440.0700.5063.2.1.21377
60.0602qf7A0.3886.190.0570.5556.4.1.1227
70.0603bicB0.3716.830.0350.5675.4.99.273,185
80.0601xc6A0.3986.250.0650.5633.2.1.23170,172,208,344
90.0602jieA0.3805.430.0400.5023.2.1.21NA
100.0601h4pA0.3715.840.0710.5173.2.1.58160
110.0601reqA0.3866.670.0370.5765.4.99.2223,454
120.0601gowA0.3665.580.0460.4893.2.1.23NA
130.0601e1cA0.3866.740.0400.5805.4.99.2NA
140.0602ow6A0.6164.730.1070.7703.2.1.114NA
150.0601np2A0.3795.400.0850.5003.2.1.21NA
160.0601edgA0.3675.020.0550.4713.2.1.4223
170.0601k1xA0.5983.050.1490.6582.4.1.25206
180.0601gnxA0.3855.180.0880.5003.2.1.21NA
190.0601cbgA0.3855.440.0670.5083.2.1.21NA

(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
00.530.8881.550.310.923p0bA GO:0003824 GO:0003844 GO:0005975 GO:0005977 GO:0005978 GO:0016740 GO:0016757
10.500.8831.960.240.922b5dX
20.230.9311.020.300.943n8tA GO:0000150 GO:0000166 GO:0000400 GO:0000730 GO:0003690 GO:0003697 GO:0003824 GO:0003844 GO:0004134 GO:0004520 GO:0004556 GO:0004557 GO:0005975 GO:0006312 GO:0008094 GO:0010212 GO:0016740 GO:0016757 GO:0030979 GO:0042148 GO:0051060
30.200.5983.050.150.661k1xA GO:0003824 GO:0004134 GO:0005975 GO:0005977 GO:0016740 GO:0016757 GO:0030246
40.060.3465.850.060.481vffA GO:0004553 GO:0005975
50.060.2966.050.040.433w24A GO:0000272 GO:0004553 GO:0005975 GO:0008152 GO:0016052 GO:0016787 GO:0016798 GO:0030246 GO:0031176
60.060.2857.210.050.453ux8A GO:0000166 GO:0003677 GO:0003824 GO:0004518 GO:0005524 GO:0005737 GO:0006281 GO:0006289 GO:0006974 GO:0008270 GO:0009380 GO:0009381 GO:0009432 GO:0016887 GO:0046872 GO:0090305
70.060.2567.520.060.423t58B GO:0000139 GO:0003756 GO:0005576 GO:0005615 GO:0005783 GO:0005794 GO:0006457 GO:0016020 GO:0016021 GO:0016242 GO:0016491 GO:0016971 GO:0016972 GO:0030173 GO:0043231 GO:0045171 GO:0045454 GO:0055114 GO:0070062
80.060.2727.520.040.452r6fB GO:0000166 GO:0003677 GO:0003824 GO:0004518 GO:0005524 GO:0005737 GO:0006281 GO:0006289 GO:0006974 GO:0008270 GO:0009380 GO:0009381 GO:0009432 GO:0016887 GO:0046872 GO:0090305
90.060.2997.520.040.482r6fA GO:0000166 GO:0003677 GO:0003824 GO:0004518 GO:0005524 GO:0005737 GO:0006281 GO:0006289 GO:0006974 GO:0008270 GO:0009380 GO:0009381 GO:0009432 GO:0016887 GO:0046872 GO:0090305
100.060.2947.570.040.493uwxA GO:0000166 GO:0003677 GO:0003824 GO:0004518 GO:0005524 GO:0005737 GO:0006281 GO:0006289 GO:0006974 GO:0008270 GO:0009380 GO:0009381 GO:0009432 GO:0016887 GO:0046872 GO:0090305
110.060.2807.400.030.443cghA GO:0046872
120.060.2407.160.040.382popA GO:0000185 GO:0000187 GO:0001701 GO:0002223 GO:0002755 GO:0003007 GO:0003279 GO:0003824 GO:0004722 GO:0005654 GO:0005737 GO:0005829 GO:0006470 GO:0007179 GO:0007249 GO:0007254 GO:0008047 GO:0010008 GO:0019209 GO:0030324 GO:0035904 GO:0038095 GO:0051092 GO:0060976 GO:0070423
130.060.2127.800.040.363v97B GO:0003676 GO:0003723 GO:0005737 GO:0006364 GO:0008168 GO:0008990 GO:0016740 GO:0031167 GO:0032259 GO:0052915 GO:0070043 GO:0070475 GO:0070476
140.060.1765.800.050.253u9lA GO:0004316 GO:0016491 GO:0055114 GO:0102132
150.060.2636.920.050.402j4oA GO:0000185 GO:0000187 GO:0001701 GO:0002223 GO:0002755 GO:0003007 GO:0003279 GO:0003824 GO:0004722 GO:0005654 GO:0005737 GO:0005829 GO:0006470 GO:0007179 GO:0007249 GO:0007254 GO:0008047 GO:0010008 GO:0019209 GO:0030324 GO:0035904 GO:0038095 GO:0051092 GO:0060976 GO:0070423
160.060.2076.080.060.294fj0D GO:0000166 GO:0016491 GO:0055114
170.060.2096.160.050.303wtbA GO:0016491 GO:0055114
180.060.2066.450.030.314xmpG GO:0005198 GO:0016020 GO:0016021 GO:0016032 GO:0019012 GO:0019031 GO:0019062 GO:0020002 GO:0033644 GO:0039663 GO:0044174 GO:0044175 GO:0046718 GO:0055036


Consensus prediction of GO terms
 
Molecular Function GO:0003844 GO:1901265 GO:0015925 GO:0000217 GO:0036094 GO:0004519 GO:0016160 GO:0004536 GO:0042623 GO:0004134
GO-Score 0.64 0.46 0.46 0.46 0.46 0.46 0.46 0.46 0.46 0.39
Biological Processes GO:0005978 GO:0045003 GO:0009314 GO:0030978 GO:0065004
GO-Score 0.53 0.46 0.46 0.46 0.46
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.