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I-TASSER results for job id S802378

(Click on S802378_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

>protein
MSRIYPKTDHLRFPMKAASLIGMFPTDLMFRGQKTFQRIYHYYYSAILFYFTTFLVTAYI
KLIILLQDEKINMTDVAENLCITLLYTNSLIRQMIMKFNKGFRSMLQQILDTEQGIQDSK
DKKKIELLNKCSESSNNHCRLYLIIVFTTAALYIAKPLFHSGYPMVIKNVTYQIKPLPLS
SWIPFDRRTHFKMAYLCQIVDSVIGAQVLVYTDLVMFSLILFPTGQLKIMGHLLRNYKQY
KQQIKLKFNIENDEHAAFVTFKGFVLEHRKVINYINQFNNTMSTLTTFDFLQSSLQIASI
VIQTMGNKITLWYVLYSSSFFVGMFYRLILYYYFPNDIILLSDDLTTAIWESDWYNEKQS
IKTMMHIVMLRTQLSLKLFIGPFGVMSIDAFISILKATYSYIMLMYGVH

  Predicted Secondary Structure

Sequence                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |         
MSRIYPKTDHLRFPMKAASLIGMFPTDLMFRGQKTFQRIYHYYYSAILFYFTTFLVTAYIKLIILLQDEKINMTDVAENLCITLLYTNSLIRQMIMKFNKGFRSMLQQILDTEQGIQDSKDKKKIELLNKCSESSNNHCRLYLIIVFTTAALYIAKPLFHSGYPMVIKNVTYQIKPLPLSSWIPFDRRTHFKMAYLCQIVDSVIGAQVLVYTDLVMFSLILFPTGQLKIMGHLLRNYKQYKQQIKLKFNIENDEHAAFVTFKGFVLEHRKVINYINQFNNTMSTLTTFDFLQSSLQIASIVIQTMGNKITLWYVLYSSSFFVGMFYRLILYYYFPNDIILLSDDLTTAIWESDWYNEKQSIKTMMHIVMLRTQLSLKLFIGPFGVMSIDAFISILKATYSYIMLMYGVH
PredictionCCCCCCHHHHHHHHHHHHHHHSSSSCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCSSSSSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHCCCCSSSSCCSSSSSHHHHHHHHHHHHHHHHHHHHHC
Conf.Score9986878999999999996831654888887631699999999999999999999999999999885255889999999999999999999999999999999999999999877534799999999999999999999999999999999999999998778774267766543212257844669952999999999999999999999899999999999999999999999652233110000130345778999999999999999989998986858999999999999999998875203440889999999999999999999983399999987799999858846599999999999999839987999916887409999999999999999999739
H:Helix; S:Strand; C:Coil

  Predicted Solvent Accessibility

Sequence                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |         
MSRIYPKTDHLRFPMKAASLIGMFPTDLMFRGQKTFQRIYHYYYSAILFYFTTFLVTAYIKLIILLQDEKINMTDVAENLCITLLYTNSLIRQMIMKFNKGFRSMLQQILDTEQGIQDSKDKKKIELLNKCSESSNNHCRLYLIIVFTTAALYIAKPLFHSGYPMVIKNVTYQIKPLPLSSWIPFDRRTHFKMAYLCQIVDSVIGAQVLVYTDLVMFSLILFPTGQLKIMGHLLRNYKQYKQQIKLKFNIENDEHAAFVTFKGFVLEHRKVINYINQFNNTMSTLTTFDFLQSSLQIASIVIQTMGNKITLWYVLYSSSFFVGMFYRLILYYYFPNDIILLSDDLTTAIWESDWYNEKQSIKTMMHIVMLRTQLSLKLFIGPFGVMSIDAFISILKATYSYIMLMYGVH
Prediction6544343520030013101000000143334433102100110000211211110010210000001243320220020001000330121000000023412300310240243135363540230034003100100110131012012312010001222322333443431200010000003331000001200310210000000000000000000000020023204402533543444443554344015202400420230040053016100100030122103000110000002333221001001112011200000000011024103400300020302613451000000000002210101011000000400120000010000002326
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
Hit		Iden1Iden2CovNorm.
Z-score		Download
Align.		                   20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |         
Sec.Str
Seq		CCCCCCHHHHHHHHHHHHHHHSSSSCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCSSSSSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHCCCCSSSSCCSSSSSHHHHHHHHHHHHHHHHHHHHHC
MSRIYPKTDHLRFPMKAASLIGMFPTDLMFRGQKTFQRIYHYYYSAILFYFTTFLVTAYIKLIILLQDEKINMTDVAENLCITLLYTNSLIRQMIMKFNKGFRSMLQQILDTEQGIQDSKDKKKIELLNKCSESSNNHCRLYLIIVFTTAALYIAKPLFHSGYPMVIKNVTYQIKPLPLSSWIPFDRRTHFKMAYLCQIVDSVIGAQVLVYTDLVMFSLILFPTGQLKIMGHLLRNYKQYKQQIKLKFNIENDEHAAFVTFKGFVLEHRKVINYINQFNNTMSTLTTFDFLQSSLQIASIVIQTMGNKITLWYVLYSSSFFVGMFYRLILYYYFPNDIILLSDDLTTAIWESDWYNEKQSIKTMMHIVMLRTQLSLKLFIGPFGVMSIDAFISILKATYSYIMLMYGVH
16c70A 0.15 0.18 0.94 2.28Download -FKHQGLVADLLPNIRVMQGVGHFMFNYYSEGKKFPHRIYCIVTLLLLLLQYGMMAVNLMMES-------DDVDDLTANTITMLFFLHPIVKMIYFPVRSKIFYKTLAIWNNPNSH-PLFAESNARFHALAITKMRRLLFCVAGATIFSVISWTGITFI----------EDSPIPRLMIRTFYPFNAGAGHVFALIYQFYYLVISMAVSNSLDVLFCSWLLFACEQLQHLKAIMKPLMELSA----TGLTKKQEMLVRSAIKYWVERHKHVVRLVTAVGDAYGVALLLHMLTTTITLTLLAYQATKVNGVNVYAATVIGYLLYTLGQVFLFCIFGNRLIEESSSVMEAAYSCHWYDGSEEAKTFVQIVCQQCQKAMSISGAKFFTVSLDLFASVLGAVVTYFMVLVQLK
27dbgC 0.07 0.18 0.89 0.77Download -----QPQQVHTFYKACGIIIS------EERSVAERNRLLSDLMQLPNMAWDTIVEQSTANPTLLLDSETKIIANIIKTNVAVCTSMGADFYPQLGHIYYNMLQLYRAVSSMISTQVAAEGLIATKGLRTIKKEILKLVETYISKALDDVVKVLVEPLLNAVLEDYMN--NVPDARD-------------AEVLNCMTTVVEKVGHMGVILILQSVFECTLDMIEFYKLLKVINEKSFAAFLELP-----PAAFKLFVDAICWAFDVEVNGLQIALDLVKNIERFANEFHKNYFFIFVSETFFVLTDSDHKSGFSKQALLLMKLISLVYLYTSNQVYLSQYLANMLSNAF----PHLTSEQIASFLSALTKQCK------------DLVVFKGTLRDFLVQIKEVGGDP
36c70 0.15 0.18 0.94 9.11Download -FKHQGLVADLLPNIRVMQGVGHFMFNY--YSE-GKKFPHRIYCIVTLLLLLLQYGMMAV---NLMMESD-DVDDLTANTITMLFFLHPIVKMIYFPVRKIFYKTLAIWNN--PNSHPLFAESNARFHALAITKMRRLLFCVAGATIFSVISWTGITFIE--------D--SPIPRLMIRTFYPFNAGAGHVFALIYQFYYLVISMAVSNSLDVLFCSWLLFACEQLQHLKAIMKPLMELSATGL----TKKQEMLVRSAIKYWVERHKHVVRLVTAVGDAYGVALLLHMLTTTITLTLLAYQATKVNGVNVYAATVIGYLLYTLGQVFLFCIFGNRLIEESSSVMEAAYSCHWYDGSEEAKTFVQIVCQQCQKAMSISGAKFFTVSLDLFASVLGAVVTYFMVLVQLK
46c70 0.16 0.18 0.94 6.54Download -FKHQGLVADLLPNIRVMQGVGHFMFNYYSEGKKFPHRIY---CIVTLLLLL----LQYGMMAVNLMMESDDVDDLTANTITMLFFLHPIVKMIYFPVRSKIFYKTLA----IWNNPNSHAESNARFHALAITKMRRLLFCVAGATIFSVISWTGITFIE----------DSPIPRLMIRTFYPFNAGAGHVFALIYQFYYLVISMAVSNSLDVLFCSWLLFACEQLQHLKAIMKPLMELSATGL----TKKQEMLVRSAIKYWVERHKHVVRLVTAVGDAYGVALLLHMLTTTITLTLLAYQATKVNGVNVYAATVIGYLLYTLGQVFLFCIFGNRLIEESSSVMEAAYSCHWYDGSEEAKTFVQIVCQQCQKAMSISGAKFFTVSLDLFASVLGAVVTYFMVLVQLK
56c70A 0.15 0.18 0.94 2.81Download --KHQGLVADLLPNIRVMQGVGHFMFNYYSEGKKFPHRIYCIVTLLLLLLQYGMMAVNLMMES-------DDVDDLTANTITMLFFLHPIVKMIYFPVRSKIFYKTLAIWNNPNSHPLF-AESNARFHALAITKMRRLLFCVAGATIFSVISWTGITFI----------EDSPIPRLMIRTFYPFNSGAGHVFALIYQFYYLVISMAVSNSLDVLFCSWLLFACEQLQHLKAIMKPLMELSATG----LTKKQEMLVRSAIKYWVERHKHVVRLVTAVGDAYGVALLLHMLTTTITLTLLAYQATKVNGVNVYAATVIGYLLYTLGQVFLFCIFGNRLIEESSSVMEAAYSCHWYDGSEEAKTFVQIVCQQCQKAMSISGAKFFTVSLDLFASVLGAVVTYFMVLVQLK
66c70 0.16 0.18 0.93 9.70Download ---HQGLVADLLPNIRVMQGVGHFMFNYYSEGKKFPHRIY---CIVTLLLLLLQYGMM----AVNLMMESDDVDDLTANTITMLFFLHPIVKMIYFPVRSKIFYKTLAIW----NNPNSHAESNARFHALAITKMRRLLFCVAGATIFSVISWTGITFI--------EDS--PIPRLMIRTFYPFNSGAGHVFALIYQFYYLVISMAVSNSLDVLFCSWLLFACEQLQHLKAIMKPLMELSATG----LTKKQEMLVRSAIKYWVERHKHVVRLVTAVGDAYGVALLLHMLTTTITLTLLAYQATKVNGVNVYAATVIGYLLYTLGQVFLFCIFGNRLIEESSSVMEAAYSCHWYDGSEEAKTFVQIVCQQCQKAMSISGAKFFTVSLDLFASVLGAVVTYFMVLVQL-
76c70A 0.15 0.18 0.91 3.65Download AD--------LLPNIRVMQGVGHFMFNYYS-------EGKKFPHRIYCIVTLLLLLLQYGMMAVNLMMESDDVDDLTANTITMLFFLHPIVKMIYFPVRS---KIFYKTLAI---WNNPNSESNARFHALAITKMRRLLFCVAGATIFSVISWTGITF----------IEDSPIPRLMIRTFYPFNAMSGHVFALIYQFYYLVISMAVSNSLDVLFCSWLLFACEQLQHLKAIMKPLME----LSATGLTKKQEMLVRSAIKYWVERHKHVVRLVTAVGDAYGVALLLHMLTTTITLTLLAYQATKVNGVNVYAATVIGYLLYTLGQVFLFCIFGNRLIEESSSVMEAAYSCHWYDGSEEAKTFVQIVCQQCQKAMSISGAKFFTVSLDLFASVLGAVVTYFMVLVQLK
87zk3A 0.06 0.18 0.92 1.42Download LGDNVEFNDRKLLYEE-------WASYGVFYKYQPIDLVRKYFGEKVGLYFAWLGAYTQM---------------LIPASIVGVIVFLYGCATVDENIPSMEMCKMSSACATARASHLFDNPATVFFSVFMALWAATFMEHWKRKQMRLNYRWDYTPIFYVAFFKGRFVGRPGDYVYIFRSFRMEECAPGGCLMELCIQLSIIM-------LGKQLIQNNLFEIGIPKMKKFIRYLKRKQRYEVDFNLEPFAGLTPEYMEMIIQFGFVTLFVASFPLAPLFALLNNIIEIRLDAKKFVTELRRPVAIRAKIWYNILRGVGKLAVIINAFVISFTSDFIPRLVYLYM----YSQNGTMHGFVNHTLSSFNVSGYEVQICRYKDYREPPWKDFWAVLAARLAFVIVFQNLR
96c70A 0.16 0.18 0.94 2.57Download -FKHQGLVADLLPNIRVMQGVGHFMFNYYSEGKKFPHRIYCIVTLLLLLLQYG-------MMAVNLMMESDDVDDLTANTITMLFFLHPIVKMIYFPVRSKIFYKTLAIWNNPN-SHPLFAESNARFHALAITKMRRLLFCVAGATIFSVISW----------TGITFIEDSPIPRLMIRTFYPFNAGAGHVFALIYQFYYLVISMAVSNSLDVLFCSWLLFACEQLQHLKAIMKPLME----LSATGLTKKQEMLVRSAIKYWVERHKHVVRLVTAVGDAYGVALLLHMLTTTITLTLLAYQATKVNGVNVYAATVIGYLLYTLGQVFLFCIFGNRLIEESSSVMEAAYSCHWYDGSEEAKTFVQIVCQQCQKAMSISGAKFFTVSLDLFASVLGAVVTYFMVLVQLK
107licA 0.14 0.18 0.90 1.81Download -------RKWIKRIGIILRISGHWPFRLPHEKRNQHKSKFRQVYSCLVITLGFITCSCYCIGLCLSES----IAQALNNITVTSYFLQSCVCYVSFIINRKLETLFNYLFENEV--VGCPRGYKMSSIKTTLFRCKFVAFSLGILSFFGWLMWTLLPLAVL----------VQTSLRFVEAWYPFDTTTSNEVIAIYEAVAMIFLITAPMSSDIMFCVLMIFIVEHLKCLGMAIECTLKGDAT----------------SLCNIVDSHVKIYRTMEIVQSVYSSYFATLFFTSCLAVCALAYFLAATSFT---VPGMVLYLMYIFLRIFLLCLLATEVAEQGLNLCHAGYSSKLVLASDHVRSTIQAIATRAQIPLSITGARFFTVNLSFLASMAGVMLTYFIVLLQVN
(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: MUSTER   2: SPARKS-X   3: HHSEARCH2   4: HHSEARCH I   5: Neff-PPAS   6: HHSEARCH   7: pGenTHREADER   8: PROSPECT2   9: SP3   10: FFAS03   

   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=0.71 (Read more about C-score)
  • Estimated TM-score = 0.81±0.09
  • Estimated RMSD = 5.3±3.4Å

  • Download Model 2
  • C-score = -0.62

  • Download Model 3
  • C-score = -2.57


  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

Click
to view		RankPDB HitTM-scoreRMSDaIDENaCovAlignment
16c70A0.934 0.740.1500.944Download
27licA0.780 3.290.1270.897Download
31eulA0.448 6.520.0750.699Download
47vlrA10.437 6.790.0580.692Download
57w4oB0.433 6.420.0550.663Download
66zbjB0.423 6.140.0600.628Download
76r9tA0.415 6.920.0560.682Download
86a69A10.414 6.300.0610.636Download
97py4A0.414 6.100.0570.604Download
107bspA0.414 6.920.0690.660Download

(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


Click
to view		RankC-scoreCluster
size		 PDB
Hit		 Lig
Name		 Download
Complex		 Ligand Binding Site Residues
10.05 2 3fgoB CZA Rep, Mult 292,293,296,324,327,328
20.05 2 3rovD PEPTIDE N/A 264,265,268
30.02 1 2agvA PTY Rep, Mult 95,286
40.02 1 2w6dB CPL N/A 370,371,373
50.02 1 2voyH PEPTIDE N/A 388,391


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


Click
to view		RankCscoreECPDB
Hit		TM-scoreRMSDaIDENaCovEC NumberActive Site Residues
10.2141eulA0.448 6.520.0750.699 3.6.3.8  NA
20.1931w36C0.383 6.880.0720.621 3.1.11.5  NA
30.1923b8eC0.367 6.640.0380.577 3.6.3.9  NA
40.1912np0A0.378 6.920.0270.621 3.4.24.69  NA
50.1903b8cB0.382 6.830.0400.606 3.6.3.6  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 0.200.3975 7.02 0.05 0.652zxeA GO:0006810 GO:0016820 GO:0015672 GO:0006812 GO:0046872 GO:0006754 GO:0000166 GO:0015077 GO:0016021 GO:0006811 GO:0015662 GO:0016020 GO:0008152 GO:0005524 GO:0003824 GO:0016787
2 0.190.3827 6.88 0.07 0.621w36C GO:0004003 GO:0006974 GO:0006302 GO:0004386 GO:0005515 GO:0004527 GO:0016787 GO:0006281 GO:0000166 GO:0004518 GO:0008854 GO:0005524 GO:0006310 GO:0004519 GO:0009338
3 0.190.3837 6.72 0.04 0.613b8cA GO:0015992 GO:0006810 GO:0016021 GO:0015991 GO:0005515 GO:0000166 GO:0005829 GO:0000287 GO:0006811 GO:0005774 GO:0016787 GO:0008553 GO:0005886 GO:0046872 GO:0005524 GO:0016020 GO:0003824 GO:0006200 GO:0006754 GO:0006812 GO:0008152 GO:0015662 GO:0016887
4 0.190.3781 6.92 0.03 0.622np0A GO:0016020 GO:0020002 GO:0044221 GO:0005829 GO:0044231 GO:0004222 GO:0008237 GO:0005886 GO:0007269 GO:0030430 GO:0046872 GO:0044164 GO:0008233 GO:0016787 GO:0033644 GO:0016021 GO:0009405 GO:0044156 GO:0005576 GO:0030666 GO:0006508 GO:0008270 GO:0050827 GO:0051609
5 0.190.3834 6.39 0.06 0.593m62A GO:0005737 GO:0006950 GO:0016567 GO:0030433 GO:0005515 GO:0006511 GO:0034450 GO:0005634 GO:0016874 GO:0000151 GO:0004842
6 0.180.3755 4.63 0.04 0.481yvlB GO:0014070 GO:0006917 GO:0042493 GO:0005515 GO:0000983 GO:0007584 GO:0034097 GO:0043330 GO:0060334 GO:0009615 GO:0051591 GO:0003677 GO:0008284 GO:0009612 GO:0006355 GO:0005730 GO:0006366 GO:0043565 GO:0000979 GO:0007165 GO:0048661 GO:0005829 GO:0030425 GO:0006351 GO:0043434 GO:0006919 GO:0005737 GO:0003700 GO:0060338 GO:0030424 GO:0060337 GO:0008015 GO:0060333 GO:0032869 GO:0044419 GO:0042542 GO:0007259 GO:0032496 GO:0005654 GO:0005634 GO:0009617 GO:0004871 GO:0007260 GO:0031663 GO:0007249 GO:0019221 GO:0005509
7 0.180.3717 6.31 0.03 0.563b8eA GO:0016323 GO:0002026 GO:0005886 GO:0006814 GO:0006813 GO:0016021 GO:0003869 GO:0006811 GO:0042383 GO:0016787 GO:0005792 GO:0008217 GO:0042470 GO:0045989 GO:0045822 GO:0000166 GO:0042493 GO:0016020 GO:0031947 GO:0006810 GO:0045823 GO:0005524 GO:0046872 GO:0005391 GO:0003824 GO:0006754 GO:0006812 GO:0008152 GO:0015077 GO:0015662 GO:0015672 GO:0016820
8 0.180.4045 6.72 0.08 0.643ixzA GO:0008900 GO:0016787 GO:0016820 GO:0015077 GO:0015662 GO:0046872 GO:0016021 GO:0000287 GO:0006810 GO:0005524 GO:0015991 GO:0006754 GO:0015672 GO:0000166 GO:0006813 GO:0006812 GO:0008152 GO:0006811 GO:0015992 GO:0016020 GO:0003824
9 0.180.4176 6.73 0.09 0.661iwoA GO:0033017 GO:0006810 GO:0046872 GO:0000166 GO:0005388 GO:0005524 GO:0006816 GO:0005789 GO:0005515 GO:0016021 GO:0005783 GO:0005509 GO:0016787 GO:0031448 GO:0016529 GO:0016020 GO:0006811 GO:0003824 GO:0006754 GO:0006812 GO:0008152 GO:0015662
10 0.150.3069 5.47 0.05 0.422xhlB GO:0033644 GO:0016787 GO:0008233 GO:0044164 GO:0046872 GO:0030430 GO:0007269 GO:0005886 GO:0008237 GO:0004222 GO:0044231 GO:0005829 GO:0044221 GO:0020002 GO:0016020 GO:0030666 GO:0005576 GO:0044156 GO:0016021 GO:0009405 GO:0008270


Consensus prediction of GO terms		 
Molecular Function GO:0005524 GO:0046872 GO:0005515 GO:0022890 GO:0016895 GO:0070035 GO:0004175 GO:0004842 GO:0003678 GO:0015662
GO-Score 0.48 0.47 0.47 0.39 0.39 0.39 0.38 0.38 0.37 0.35
Biological Process GO:0090304 GO:0033554 GO:0009207 GO:0015988 GO:0051704 GO:0032940 GO:0051581 GO:0023061 GO:0032446 GO:0043161
GO-Score 0.39 0.39 0.38 0.38 0.38 0.38 0.38 0.38 0.38 0.38
Cellular Component GO:0016021 GO:0032991 GO:0044437 GO:0072556 GO:0033655 GO:0030659 GO:0030139 GO:0005886 GO:0005829
GO-Score 0.47 0.39 0.38 0.38 0.38 0.38 0.38 0.34 0.34

(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 S802378_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.