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I-TASSER results for job id Rv2923c

[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
10.40 6 3lusA MCO Rep, Mult 48,51,52,117
20.11 2 2onfB COA Rep, Mult 51,56,59,61,106,110,113,114,116
30.10 2 2onfA COA Rep, Mult 31,39,79,80

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
10.0601x54A0.5363.900.0800.7666.1.1.22NA
20.0601mhyB0.5174.490.0690.8251.14.13.25117,121
30.0601nyeD0.7392.590.1560.9341.11.1.1539,46,48,52
40.0602obvA0.5472.770.0700.7152.5.1.620,42
50.0602zzgA0.5203.970.0700.8186.1.1.744
60.0603ixzA0.5384.150.0540.8763.6.3.10NA
70.0601bbuA0.5133.990.0490.7376.1.1.6NA
80.0602dplA0.5243.970.0790.7456.3.5.2NA
90.0602ajqA0.5474.110.1220.8182.7.7.7NA
100.0602dr9A0.5183.900.0810.7232.7.7.21,2.7.7.25NA
110.0601wydB0.5474.100.1120.7816.1.1.12NA
120.0601xvgC0.5414.350.0670.8251.14.13.25117
130.0601b8aA0.5384.130.0720.7746.1.1.12NA
140.0603e9hA0.5114.140.0740.7456.1.1.6NA
150.0603b8eA0.5354.440.0440.9123.6.3.9NA
160.0603c66A0.5003.110.0570.6862.7.7.19NA
170.0603b7wA0.5034.270.0680.8396.2.1.2NA
180.0602jifA0.5044.380.0170.7811.3.99.-NA
190.0603i7fA0.5274.080.0550.7666.1.1.12NA

(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
00.430.8721.240.160.932e8cA
10.400.9360.660.190.961ml8A
20.400.7662.470.170.931vlaA
30.340.7362.550.200.921ukkA GO:0004601 GO:0006979 GO:0098869
40.320.7751.990.150.912pn2A
50.310.7162.820.130.913i07B GO:0006979 GO:0009636 GO:0046872
60.300.8261.890.150.951lqlC GO:0004601 GO:0005737 GO:0016491 GO:0055114 GO:0098869
70.300.7392.590.160.931nyeD GO:0004601 GO:0005737 GO:0005829 GO:0006972 GO:0006979 GO:0016209 GO:0016491 GO:0033194 GO:0051920 GO:0055114 GO:0098869
80.300.7212.490.130.914mh4A GO:0006979
90.290.7952.060.160.922d7vA
100.260.7412.020.140.862oplB
110.240.7062.920.150.931uspA GO:0006979
120.240.8132.000.160.952onfA
130.060.3914.810.080.693d36B
140.060.3655.430.070.694i8pA GO:0000166 GO:0008152 GO:0016491 GO:0016620 GO:0019145 GO:0033737 GO:0055114
150.060.3175.620.080.622e7yA GO:0016787 GO:0034414 GO:0042781 GO:0046872
160.060.3225.510.040.653islA GO:0003824 GO:0004760 GO:0005777 GO:0006144 GO:0008453 GO:0008483 GO:0016740 GO:0019265
170.060.3014.970.060.521hcfA GO:0005102 GO:0005166 GO:0005576 GO:0005788 GO:0007169 GO:0007267 GO:0007402 GO:0007616 GO:0008052 GO:0008083 GO:0008344 GO:0008544 GO:0016023 GO:0042490 GO:0043524 GO:0045664 GO:0048812 GO:0060384 GO:0060548 GO:0061193
180.060.3294.990.060.571i82A GO:0000272 GO:0004553 GO:0005975 GO:0008152 GO:0016052 GO:0016787 GO:0016798 GO:0030246 GO:0031176 GO:0045493
190.060.2985.110.050.554es6A GO:0004852 GO:0006779 GO:0006782 GO:0016829 GO:0033014
200.060.3564.480.070.593pm6A GO:0003824 GO:0004332 GO:0005975 GO:0006096 GO:0008270 GO:0016829 GO:0016832 GO:0046872
210.060.3544.720.100.625aecA GO:0004497 GO:0016491 GO:0016705 GO:0055114


Consensus prediction of GO terms
 
Molecular Function GO:0004601
GO-Score 0.34
Biological Processes GO:0098869 GO:0006979
GO-Score 0.34 0.34
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.