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I-TASSER results for job id Rv0152c

[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
10.24 10 3we0B FAD Rep, Mult 62,63,64,68,69,70,86,87,89,90,270,271,300,303,312,335,406,409,410,461,462,463,466
20.02 1 2vn4A MAN Rep, Mult 413,414
30.02 1 3dd5B DEP Rep, Mult 88,128,163,164
40.02 1 1f8sA BE2 Rep, Mult 14,171,173,216,217
50.02 1 2xmrA CA Rep, Mult 78,335
60.02 1 2npiA MG Rep, Mult 293,307
70.02 1 3a0bK III Rep, Mult 308,309,312,327,331
80.02 1 1fp4B CA Rep, Mult 103,119
90.02 1 1ordA PLP Rep, Mult 343,344,345
100.02 1 2gnmB MN Rep, Mult 240,242
110.02 1 1qbgB FAD Rep, Mult 230,231
120.02 1 2zcpA MG Rep, Mult 317,321

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
10.1122yr4A0.7853.480.0930.8991.13.12.9353
20.1081f8rA0.6863.870.0910.7921.4.3.2NA
30.0901b37B0.6264.410.0620.7661.5.3.15,1.5.3.14NA
40.0772vvmA0.6234.480.0700.7581.4.3.4NA
50.0722iveA0.5664.350.0880.6861.3.3.4NA
60.0672z5xA0.6284.380.0740.7581.4.3.4NA
70.0673cn8B0.5954.370.0700.7261.5.3.1763,466
80.0662jaeA0.5604.010.0720.6531.4.3.291
90.0603bi2B0.5954.330.0730.7241.5.3.11NA
100.0603lovA0.5654.150.0730.6721.3.3.463,71,87,463
110.0602jb2A0.5604.000.0740.6531.4.3.263,300,304,409,411,466
120.0601oj9A0.6324.390.0720.7621.4.3.4NA
130.0601rsgA0.5784.480.0730.7091.5.3.11NA
140.0601fohC0.4525.260.0500.5911.14.13.7NA
150.0601v0jA0.4565.540.0660.6085.4.99.9NA
160.0603he3A0.4605.230.0610.5965.4.99.9NA
170.0601kdgB0.4325.920.0720.5961.1.99.18,NA
180.0602gmjA0.4615.400.0590.6171.5.5.1273
190.0603i6dB0.5814.060.0850.6901.3.3.4NA
200.0603cp8A0.4415.820.0680.6021.-.-.-NA
210.0601o5wC0.6334.400.0760.7621.4.3.4NA
220.0602dkiA0.4655.610.0590.6231.14.13.23264
230.0601gpeA0.4376.070.0490.6081.1.3.4NA
240.0602qcuB0.4375.450.0660.5771.1.5.3NA
250.0601pj6A0.4405.590.0720.5961.5.3.10NA
260.0601sezA0.5584.930.0780.7031.3.3.4NA
270.0601i8tA0.4485.150.0650.5795.4.99.9NA

(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
00.190.8712.530.080.933we0A GO:0000166 GO:0004497 GO:0016491 GO:0050067 GO:0055114
10.160.7983.470.090.913ayiA GO:0000166 GO:0004497 GO:0016491 GO:0050172 GO:0055114
20.160.7853.480.090.902yr4A GO:0000166 GO:0004497 GO:0016491 GO:0050172 GO:0055114
30.160.7893.070.100.884iv9A GO:0004497 GO:0009851 GO:0016491 GO:0050361 GO:0055114
40.150.5684.820.080.711sezA GO:0004729 GO:0005739 GO:0006779 GO:0006782 GO:0006783 GO:0016491 GO:0055114
50.100.6823.890.090.793kveA GO:0001716 GO:0005576 GO:0006915 GO:0016491 GO:0019835 GO:0042742 GO:0044179 GO:0046872 GO:0055114
60.100.6853.690.090.791reoA GO:0001716 GO:0005576 GO:0006915 GO:0016491 GO:0019835 GO:0042742 GO:0044179 GO:0055114
70.100.6753.750.090.784e0vB GO:0001716 GO:0005576 GO:0006915 GO:0016491 GO:0019835 GO:0042742 GO:0044179 GO:0055114
80.090.6863.870.090.791f8rA GO:0001716 GO:0005576 GO:0006915 GO:0016491 GO:0019835 GO:0042742 GO:0055114
90.070.6324.390.070.764a79A GO:0005739 GO:0005740 GO:0005741 GO:0005743 GO:0008131 GO:0009055 GO:0009636 GO:0010044 GO:0010269 GO:0014063 GO:0016020 GO:0016021 GO:0016491 GO:0021762 GO:0032496 GO:0042420 GO:0042493 GO:0042803 GO:0045471 GO:0045964 GO:0048545 GO:0050660 GO:0050665 GO:0051412 GO:0055114 GO:0070062
100.070.6234.480.070.762vvmA GO:0005777 GO:0016491 GO:0055114
110.070.6294.560.060.783kpfA GO:0016491 GO:0052893 GO:0052896 GO:0052897 GO:0052898 GO:0052900 GO:0055114
120.070.6334.400.080.761o5wC GO:0005739 GO:0005741 GO:0006584 GO:0008131 GO:0016020 GO:0016021 GO:0016491 GO:0042135 GO:0042424 GO:0042428 GO:0042443 GO:0050660 GO:0051378 GO:0055114
130.070.6145.090.060.794uirA GO:0005504 GO:0006629 GO:0006631 GO:0009636 GO:0016491 GO:0016829 GO:0050151 GO:0055114 GO:0070542 GO:0071949
140.070.6194.510.080.753rhaA GO:0016491 GO:0050232 GO:0055114
150.070.6124.270.100.732yg3B GO:0000166 GO:0016491 GO:0055114
160.070.5774.510.090.713nksA GO:0004729 GO:0005739 GO:0005743 GO:0005758 GO:0006779 GO:0006782 GO:0006783 GO:0016020 GO:0016491 GO:0031304 GO:0031305 GO:0031966 GO:0042493 GO:0046501 GO:0050660 GO:0055114
170.070.5664.350.090.692iveA GO:0004729 GO:0005737 GO:0006779 GO:0006782 GO:0006783 GO:0016020 GO:0016491 GO:0055114
180.070.5694.980.090.724dsgA GO:0000166 GO:0016491 GO:0055114


Consensus prediction of GO terms
 
Molecular Function GO:0016703 GO:0000166 GO:0070818 GO:0016634
GO-Score 0.59 0.43 0.31 0.31
Biological Processes GO:0055114 GO:0009850 GO:0042446 GO:0044711 GO:0046148 GO:0046501 GO:0042168 GO:0006779
GO-Score 0.59 0.32 0.32 0.31 0.31 0.31 0.31 0.31
Cellular Component GO:0044444 GO:0043231
GO-Score 0.31 0.31

(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.