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I-TASSER results for job id S693131

(Click on S693131_results.tar.bz2 to download the tarball file including all modeling results listed on this page. Click on Annotation of I-TASSER Output to read the instructions for how to interpret the results on this page. Model results are kept on the server for 60 days, there is no way to retrieve the modeling data older than 2 months)

  Submitted Sequence in FASTA format


  Predicted Secondary Structure

Sequence                  20                  40                  60
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H:Helix; S:Strand; C:Coil

  Predicted Solvent Accessibility

Sequence                  20                  40                  60
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Values range from 0 (buried residue) to 9 (highly exposed residue)

   Predicted normalized B-factor

(B-factor is a value to indicate the extent of the inherent thermal mobility of residues/atoms in proteins. In I-TASSER, this value is deduced from threading template proteins from the PDB in combination with the sequence profiles derived from sequence databases. The reported B-factor profile in the figure below corresponds to the normalized B-factor of the target protein, defined by B=(B'-u)/s, where B' is the raw B-factor value, u and s are respectively the mean and standard deviation of the raw B-factors along the sequence. Click here to read more about predicted normalized B-factor)

  Top 10 threading templates used by I-TASSER

(I-TASSER modeling starts from the structure templates identified by LOMETS from the PDB library. LOMETS is a meta-server threading approach containing multiple threading programs, where each threading program can generate tens of thousands of template alignments. I-TASSER only uses the templates of the highest significance in the threading alignments, the significance of which are measured by the Z-score, i.e. the difference between the raw and average scores in the unit of standard deviation. The templates in this section are the 10 best templates selected from the LOMETS threading programs. Usually, one template of the highest Z-score is selected from each threading program, where the threading programs are sorted by the average performance in the large-scale benchmark test experiments.)

Rank PDB
                   20                  40                  60
                   |                   |                   |                 
42jy8 0.28 0.17 0.42 1.02Download --------------------SMGFSDEGGWLTRLLQTKNYDIGAALDTIQYS-------------------------
84ildA 0.46 0.31 0.62 0.33Download K---ESEGHY--P-----IGKCKLENETDSTS-C--NREG-----VAIVPQ----------GTLK-CKIGKTTVQVI
(a)All the residues are colored in black; however, those residues in template which are identical to the residue in the query sequence are highlighted in color. Coloring scheme is based on the property of amino acids, where polar are brightly coloured while non-polar residues are colored in dark shade. (more about the colors used)
(b)Rank of templates represents the top ten threading templates used by I-TASSER.
(c)Ident1 is the percentage sequence identity of the templates in the threading aligned region with the query sequence.
(d)Ident2 is the percentage sequence identity of the whole template chains with query sequence.
(e)Cov represents the coverage of the threading alignment and is equal to the number of aligned residues divided by the length of query protein.
(f)Norm. Z-score is the normalized Z-score of the threading alignments. Alignment with a Normalized Z-score >1 mean a good alignment and vice versa.
(g)Download Align. provides the 3D structure of the aligned regions of the threading templates.
(h)The top 10 alignments reported above (in order of their ranking) are from the following threading programs:
       1: FFAS-3D   2: SPARKS-X   3: SP3   4: HHSEARCH   5: wdPPAS   6: Neff-PPAS   7: HHSEARCH2   8: pGenTHREADER   9: HHSEARCH I   10: PROSPECT2   

   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 a higher value signifies a model with a higher 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.)
    (By right-click on the images, you can export image file or change the configurations, e.g. modifying the background color or stopping the spin of your models)
  • Download Model 1
  • C-score=-2.23 (Read more about C-score)
  • Estimated TM-score = 0.45±0.15
  • Estimated RMSD = 8.1±4.4Å

  • Download Model 2
  • C-score = -3.73

  • Download Model 3
  • C-score = -4.20

  • Download Model 4
  • C-score = -4.84

  • Download Model 5
  • C-score = -5

  Proteins structurally close to the target in the 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.)

Top 10 Identified stuctural analogs in PDB

to view
RankPDB HitTM-scoreRMSDaIDENaCovAlignment
12w87A0.640 3.090.1350.961Download
22vzpB0.637 3.150.1470.974Download
37bysA20.633 3.080.1620.961Download
42w47A0.630 3.180.1470.974Download
52w3jA0.629 3.250.1760.961Download
62wz8A0.625 2.940.1230.948Download
73a23A0.624 3.150.1350.948Download
85x7oA60.623 3.130.0950.961Download
95x7gA0.621 3.110.1100.948Download
104kmqA20.616 2.990.1110.935Download

(a)Query structure is shown in cartoon, while the structural analog is displayed using backbone trace.
(b)Ranking of proteins is based on TM-score of the structural alignment between the query structure and known structures in the PDB library.
(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 the alignment by TM-align and is equal to the number of structurally aligned residues divided by length of the query protein.

  Predicted function using COFACTOR and COACH

(This section reports biological annotations of the target protein by COFACTOR and COACH based on the I-TASSER structure prediction. While COFACTOR deduces protein functions (ligand-binding sites, EC and GO) using structure comparison and protein-protein networks, COACH is a meta-server approach that combines multiple function annotation results (on ligand-binding sites) from the COFACTOR, TM-SITE and S-SITE programs.)

  Ligand binding sites

to view
Ligand Binding Site Residues
10.09 3 2xnjA ZN Rep, Mult 9,73
20.09 3 3rbhC C8E Rep, Mult 3,24,25,58
30.06 2 4crrA APY Rep, Mult 37,75,77
40.06 2 3wnnA GLC Rep, Mult 44,45,46,47,59,60,62
50.06 2 4qh1B BXA Rep, Mult 19,63

Download the residue-specific ligand binding probability, which is estimated by SVM.
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

to view
TM-scoreRMSDaIDENaCovEC NumberActive Site Residues
10.1981f7rA0.538 3.530.0830.935  47
20.1532d4lA0.559 3.400.0690.935  NA
30.1491uy1A0.558 3.340.0140.948  4
40.1411kshB0.554 3.670.0660.948  44
50.1412z4fA0.557 3.230.0420.909  NA

 Click on the radio buttons to visualize predicted active site residues.
(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
Top 10 homologous GO templates in PDB 
RankCscoreGOTM-scoreRMSDaIDENaCovPDB HitAssociated GO Terms
1 0.160.6252 2.94 0.12 0.952wz8A GO:0030246
2 0.160.6367 3.15 0.15 0.972vzpB GO:0030246
3 0.150.6405 3.09 0.14 0.962w87A GO:0030246
4 0.150.5794 3.28 0.10 0.941i5pA GO:0006952 GO:0030435 GO:0009405 GO:0005102
5 0.150.6304 3.18 0.15 0.972w47A GO:0030246
6 0.150.6237 3.15 0.14 0.953a21A GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0043169
7 0.150.6288 3.25 0.18 0.962w3jA GO:0030246
8 0.150.5579 3.34 0.01 0.951uy1A GO:0030246
9 0.150.5627 3.14 0.19 0.882yd0A GO:0008237 GO:0016020 GO:0045444 GO:0005783 GO:0046872 GO:0008235 GO:0045088 GO:0005789 GO:0005788 GO:0008233 GO:0008217 GO:0019885 GO:0005829 GO:0004177 GO:0005515 GO:0001525 GO:0005138 GO:0016021 GO:0009617 GO:0006509 GO:0005576 GO:0005151 GO:0008270 GO:0016787 GO:0006508
10 0.140.5575 3.36 0.08 0.941uxzA GO:0030246

Consensus prediction of GO terms
Molecular Function GO:0030246
GO-Score 0.49
Biological Process GO:0043934 GO:0030154 GO:0048646 GO:0051704 GO:0050896
GO-Score 0.31 0.31 0.31 0.31 0.31
Cellular Component None was predicted

(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 S693131_results.tar.bz2 to download the tarball file including all modeling results listed on this page]

Please cite the following articles when you use the I-TASSER server:
  • Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. Cell Reports Methods, 1: 100014 (2021).
  • Chengxin Zhang, Peter L. Freddolino, and Yang Zhang. COFACTOR: improved protein function prediction by combining structure, sequence and protein-protein interaction information. Nucleic Acids Research, 45: W291-299 (2017).
  • Jianyi Yang, Yang Zhang. I-TASSER server: new development for protein structure and function predictions, Nucleic Acids Research, 43: W174-W181, 2015.