I-TASSER results

I-TASSER results for job id Rv0906

[Click on result.tar.bz2 to download the tarball file including all modelling results listed on this page]

Input Sequence in FASTA format

>protein (372 residues)
MVRRALRLAAGTASLAAGTWLLRALHGTPAALGADAASIRAVSEQSPNYRDGAFVNLDPA
SMFTLDREELRLIVWELVARHSASRPAAPIPLASPNIYRGDASRLAVSWFGHSTALLEID
GYRVLTDPVWSDRCSPSDVVGPQRLHPPPVQLAALPAVDAVVISHDHYDHLDIDTVVALV
GMQRAPFLVPLGVGAHLRSWGVPQDRIVELDWNQSAQVDELTVVCVPARHFSGRFLSRNT
TLWASWAFVGPNHRAYFGGDTGYTKSFTQIGADHGPFDLTLLPIGAYNTAWPDIHMNPEE
AVRAHLDVTDSGSGMLVPVHWGTFRLAPHPWGEPVERLLAAAEPEHVTVAVPLPGQRVDP
TGPMRLHPWWRL

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MVRRALRLAAGTASLAAGTWLLRALHGTPAALGADAASIRAVSEQSPNYRDGAFVNLDPASMFTLDREELRLIVWELVARHSASRPAAPIPLASPNIYRGDASRLAVSWFGHSTALLEIDGYRVLTDPVWSDRCSPSDVVGPQRLHPPPVQLAALPAVDAVVISHDHYDHLDIDTVVALVGMQRAPFLVPLGVGAHLRSWGVPQDRIVELDWNQSAQVDELTVVCVPARHFSGRFLSRNTTLWASWAFVGPNHRAYFGGDTGYTKSFTQIGADHGPFDLTLLPIGAYNTAWPDIHMNPEEAVRAHLDVTDSGSGMLVPVHWGTFRLAPHPWGEPVERLLAAAEPEHVTVAVPLPGQRVDPTGPMRLHPWWRL
Prediction	CCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHCCCCCCCEEHCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEHCCCEEEEEHCCEEEEHCCCCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCEEEHCCCCCCCCCHHHHHHHHHCCCCEEEHCCHHHHHHHHHCCCCCCEEEHCCCEEEEHCCEEEEEEHCCCCCCCCCCCCCCCEEEEEEEHCCEEEEEHCCCCCCHHHHHHHHHHCCCEEEEHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCCEEEEHCCCCCCCCCCCHHHCHHHHHHHHHHHCCEEEHCCCCEEEHCCCCCCCCCCCCC
Conf.Score	986589999999999999999999985765578897567777775888768867789998778888589999999998688899998889887888566898985999985658999999989998899999988777788777888999988899998999879998889999999998568988996856999999989987648984899589998899999867888888899898766789998599789985899988899999999899779998589998877667899999999999999859998998668855678898566699999999998996998799879985899887787679
	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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MVRRALRLAAGTASLAAGTWLLRALHGTPAALGADAASIRAVSEQSPNYRDGAFVNLDPASMFTLDREELRLIVWELVARHSASRPAAPIPLASPNIYRGDASRLAVSWFGHSTALLEIDGYRVLTDPVWSDRCSPSDVVGPQRLHPPPVQLAALPAVDAVVISHDHYDHLDIDTVVALVGMQRAPFLVPLGVGAHLRSWGVPQDRIVELDWNQSAQVDELTVVCVPARHFSGRFLSRNTTLWASWAFVGPNHRAYFGGDTGYTKSFTQIGADHGPFDLTLLPIGAYNTAWPDIHMNPEEAVRAHLDVTDSGSGMLVPVHWGTFRLAPHPWGEPVERLLAAAEPEHVTVAVPLPGQRVDPTGPMRLHPWWRL
Prediction	643211221022212312110010011213221443752453266052156333403432443434340023003301455674415450233415265166750301000300010035623000000004301224123241235220417303400000000111220226004301745502010133004204635155420100224341405603010000100112215433110000024365210000031011620440075044110000000122141451121040002004104515041000000000310423163016303510574703000031112030546553540066
	Values range from 0 (buried residue) to 8 (highly exposed residue)

Predicted Normalized B-facotr

(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

Rank

PDB
Hit

Iden1

Iden2

Cov

Norm.
Zscore

Download
Align.

                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360

                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |

Sec.Str
Seq

CCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHCCCCCCCEEHCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEHCCCEEEEEHCCEEEEHCCCCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCEEEHCCCCCCCCCHHHHHHHHHCCCCEEEHCCHHHHHHHHHCCCCCCEEEHCCCEEEEHCCEEEEEEHCCCCCCCCCCCCCCCEEEEEEEHCCEEEEEHCCCCCCHHHHHHHHHHCCCEEEEHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCCEEEEHCCCCCCCCCCCHHHCHHHHHHHHHHHCCEEEHCCCCEEEHCCCCCCCCCCCCC
MVRRALRLAAGTASLAAGTWLLRALHGTPAALGADAASIRAVSEQSPNYRDGAFVNLDPASMFTLDREELRLIVWELVARHSASRPAAPIPLASPNIYRGDASRLAVSWFGHSTALLEIDGYRVLTDPVWSDRCSPSDVVGPQRLHPPPVQLAALPAVDAVVISHDHYDHLDIDTVVALVGMQRAPFLVPLGVGAHLRSWGVPQDRIVELDWNQSAQVDELTVVCVPARHFSGRFLSRNTTLWASWAFVGPNHRAYFGGDTGYTKSFTQIGADHGPFDLTLLPIGAYNTAWPDIHMNPEEAVRAHLDVTDSGSGMLVPVHWGTFRLAPHPWGEPVERLLAAAEPEHVTVAVPLPGQRVDPTGPMRLHPWWRL

4qn9A

0.38

0.31

0.83

2.69

MUSTER

---------------------------------------------SKKGKDGRFVNPWPTWKNPSIPNSVPSSKEELDKELPVLKPY---FITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGCE--NVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

4qn9A

0.37

0.31

0.83

4.32

dPPAS

---------------------------------------------SKKGKDGRFVNPWPTWKNPSIPNSSVPSSKEELDKELPVL--KPYFITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGC--ENVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

4qn9A

0.37

0.31

0.83

5.16

wdPPAS

---------------------------------------------SKKGKDGRFVNPWPTWKNPSIPNSSVPSSKEELDKE--LPVLKPYFITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGCE--NVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

4qn9A

0.38

0.31

0.83

3.48

wMUSTER

----------------------------------------------KKGKDGRFVNPWPTWKNPSIPNSVPSSKEELDKELPVLKPY---FITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGCE--NVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

4qn9A

0.37

0.31

0.83

4.81

wPPAS

---------------------------------------------SKKGKDGRFVNPWPTWKNPSIPNSSVPSSKEELDKELP--VLKPYFITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGCE--NVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

4qn9A

0.37

0.31

0.83

7.50

dPPAS2

---------------------------------------------SKKGKDGRFVNPWPTWKNPSIPNSSVPSSKEELDKELPVL--KPYFITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGC--ENVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

4qn9A

0.37

0.31

0.83

4.29

PPAS

---------------------------------------------SKKGKDGRFVNPWPTWKNPSIPNSSVPSSKEELDKELPVLK--PYFITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGCE--NVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

4qn9A

0.37

0.31

0.83

6.11

Env-PPAS

---------------------------------------------SKKGKDGRFVNPWPTWKNPSIPNSSVPSSKEELDKELPVLK--PYFITNPEEAGVREAGLRVTWLGHATVMVEMDELIFLTDPIFSSRASPSQYMGPKRFRRSPCTISELPPIDAVLISHNHYDHLDYNSVIALNERNELRWFVPLGLLDWMQKCGC--ENVIELDWWEENCVPGVTFVFTPSQHWCKRTLDDNKVLWGSWSVLGPWNRFFFAGDTGYCPAFEEIGKRFGPFDLAAIPIGAYEPRWKYQHVDPEEAVRIHTDVQ---TKKSMAIHWGTFALANEHYLEPPVKLNEALERYGLDFFVLKHGESRYLNN----------

3x2xA

0.27

0.16

0.60

2.14

MUSTER

-------------------------------------------------------------------------------------------------------GMKVTFLGHAVVLIEG-KKNIIIDPFISGNPVC------------PVKLEGLPKIDYILVTAGHGDHLG--DAVEIAKKNDATVISNYEICHYLGKKGV---KTHAMHIGGSYLFDFGRVKMTPAVHGSGI-LDGDSMIYSGFLITIEGKKIYHAGDTGLTREMELLAE--ENVDVAFLPIGGN------FVMDVEDAVRAAVMIK---PKKVVPMHYGTWELIFA----DVELFKKKVEEKGVECVILEPGESLEL------------

3x2xA

0.27

0.16

0.60

3.55

dPPAS

-------------------------------------------------------------------------------------------------------GMKVTFLGHAVVLIEG-KKNIIIDPFISGNPVC------------PVKLEGLPKIDYILVTAGHGDHLGDAVEIAKKN--DATVISNYEICHYLGKKGV---KTHAMHIGGSYLFDFGRVKMTPAVHGSGI-LDGDSMIYSGFLITIEGKKIYHAGDTGLTREMELLAE--ENVDVAFLPIGGN------FVMDVEDAVRAAVMIK---PKKVVPMHYGTWELIFA----DVELFKKKVEEKGVECVILEPGESLEL------------

(a)	Iden1 is the number of template residues identical to query divided by number of aligned residues.
(b)	Iden2 is the number of template residues identical to query divided by query sequence length.
(c)	Cov is equal the number of aligned template residues divided by query sequence length.
(d)	Norm. Zscore is the normalized Z-score of the threading alignments. A Normalized Z-score >1 means a good alignment.
(e)	Download Align. list the threading program used to identify the template provide the 3D structure of aligned regions of threading templates.

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.)

More about C-score

Local structure accuracy of first model

Download Model 1

C-score=-1.11

Estimated TM-score = 0.57±0.14

Estimated RMSD = 9.2±4.6Å

Download Model 2

C-score=-1.58

Download Model 3

C-score=-1.91

Download Model 4

C-score=-1.49

Download Model 5

C-score=-1.92

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.)

Top 10 Identified stuctural analogs in PDB

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov
1	4qn9A	0.791	1.68	0.371	0.825
2	3bv6B	0.648	3.23	0.156	0.745
3	5a0tA	0.563	3.98	0.154	0.685
4	4jo0A	0.559	3.71	0.141	0.659
5	3rpcA	0.552	3.11	0.182	0.629
6	3x2xA	0.545	2.44	0.259	0.602
7	4xwtA1	0.545	3.55	0.127	0.648
8	3zq4A3	0.544	3.65	0.139	0.648
9	3bk1A	0.541	3.81	0.149	0.656
10	2ycbA	0.540	3.76	0.102	0.645

(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)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a 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 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
1	0.51	40	3bv6F	FE	Rep, Mult	169,170,260,320
2	0.28	24	4qn9A	ZN	Rep, Mult	165,167,230,260
3	0.02	3	3iemB	SSU	Rep, Mult	106,108,118,123,151,154,355,357
4	0.01	1	4qn9B	DXC	Rep, Mult	141,142,325

	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

Rank	Cscore^EC	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov	EC Number	Active Site Residues
1	0.067	1y44A	0.513	3.17	0.149	0.594	3.1.26.11	151,179
2	0.060	2q01C	0.398	6.50	0.074	0.640	5.3.1.12	NA
3	0.060	2drsA	0.399	6.38	0.048	0.637	3.2.1.156	NA
4	0.060	1a0eA	0.397	6.29	0.041	0.621	5.3.1.5	NA
5	0.060	1alkA	0.397	6.75	0.078	0.667	3.1.3.1	176
6	0.060	2a5hD	0.403	5.66	0.053	0.583	5.4.3.2	NA
7	0.060	1b90A	0.399	5.98	0.057	0.597	3.2.1.2	NA
8	0.060	1xzwB	0.409	6.23	0.060	0.640	3.1.3.2	NA
9	0.060	2nxfA	0.396	5.10	0.044	0.546	3.6.1.16,3.6.1.53,3.6.1.13	165
10	0.060	1ofdA	0.402	5.65	0.067	0.589	1.4.7.1	NA
11	0.060	2i7vA	0.529	3.39	0.155	0.618	3.1.27.-	169
12	0.060	1a0dA	0.400	6.33	0.041	0.626	5.3.1.5	NA
13	0.060	2vdcA	0.415	5.79	0.047	0.616	1.4.1.13	NA
14	0.060	1ea0A	0.413	5.76	0.043	0.613	1.4.1.13	NA
15	0.060	2cbnA	0.517	3.24	0.148	0.600	3.1.26.11	151,167,169,179
16	0.060	1llwA	0.428	6.20	0.047	0.675	1.4.7.1	NA
17	0.060	1veoA	0.400	6.00	0.065	0.600	3.2.1.2	177
18	0.060	1nxcA	0.400	6.32	0.059	0.634	3.2.1.113	NA
19	0.060	2fk6A	0.522	3.24	0.142	0.605	3.1.26.11	151
20	0.060	2vhhC	0.417	6.51	0.053	0.659	3.5.1.6	179

(a)	Cscore^EC is the confidence score for the EC number prediction. Cscore^EC 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)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a 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

Rank	Cscore^GO	TM-score	RMSD^a	IDEN^a	Cov	PDB Hit	Associated GO Terms
Homologous GO templates in PDB
0	0.45	0.793	1.72	0.37	0.83	4qn9B	GO:0001523 GO:0004620 GO:0005737 GO:0006629 GO:0008270 GO:0009395 GO:0016020 GO:0016042 GO:0016787 GO:0042622 GO:0046872 GO:0070062 GO:0070290
1	0.44	0.529	3.39	0.15	0.62	2i7vA	GO:0000398 GO:0003723 GO:0004518 GO:0004519 GO:0004521 GO:0005634 GO:0005654 GO:0005847 GO:0006369 GO:0006378 GO:0006379 GO:0006397 GO:0006398 GO:0006406 GO:0008409 GO:0016787 GO:0030529 GO:0031124 GO:0046872 GO:0090305 GO:0090502
2	0.42	0.648	3.23	0.16	0.74	3bv6B	GO:0046872
3	0.36	0.514	3.42	0.18	0.60	1zkpA	GO:0046872
4	0.36	0.522	3.14	0.15	0.60	1y44A	GO:0004518 GO:0004519 GO:0008033 GO:0008270 GO:0016787 GO:0016891 GO:0034414 GO:0042779 GO:0042781 GO:0046872 GO:0090502
5	0.33	0.502	3.01	0.18	0.56	3kl7A	GO:0016787 GO:0046872
6	0.32	0.498	3.78	0.11	0.60	3g1pB	GO:0008081 GO:0016787 GO:0019700 GO:0030145 GO:0046872
7	0.31	0.538	3.65	0.10	0.64	2xr1B	GO:0003676 GO:0003723 GO:0046872
8	0.31	0.545	2.44	0.26	0.60	3x2xA	GO:0016787
9	0.27	0.513	4.50	0.10	0.66	2bibA	GO:0046872
10	0.27	0.537	3.69	0.10	0.64	3af5A	GO:0003676 GO:0003723 GO:0046872
11	0.23	0.634	3.25	0.17	0.73	2wylA	GO:0005737 GO:0016787 GO:0019854 GO:0030145 GO:0035460 GO:0052689
12	0.22	0.494	3.72	0.12	0.60	2p4zB	GO:0016787 GO:0046872
13	0.20	0.571	3.07	0.18	0.65	3rpcA	GO:0046872
14	0.19	0.492	3.98	0.17	0.60	2az4B	GO:0046872
15	0.07	0.559	3.71	0.14	0.66	4jo0A	GO:0046872
16	0.07	0.563	3.98	0.15	0.69	5a0tA	GO:0003723 GO:0004518 GO:0004519 GO:0004521 GO:0004527 GO:0004534 GO:0005737 GO:0006364 GO:0006396 GO:0008270 GO:0016787 GO:0046872 GO:0090501 GO:0090502 GO:0090503
17	0.07	0.544	3.67	0.12	0.65	4xwwA	GO:0003723 GO:0004518 GO:0004519 GO:0004521 GO:0004527 GO:0004534 GO:0005737 GO:0006364 GO:0006396 GO:0008270 GO:0016787 GO:0046872 GO:0090501 GO:0090502 GO:0090503
18	0.07	0.543	3.60	0.14	0.65	3zq4A	GO:0003723 GO:0004518 GO:0004519 GO:0004521 GO:0004527 GO:0004534 GO:0005737 GO:0006364 GO:0006396 GO:0006397 GO:0008270 GO:0016787 GO:0046872 GO:0090501 GO:0090502 GO:0090503
19	0.07	0.539	3.61	0.10	0.64	2ycbB	GO:0003676 GO:0003723 GO:0046872

Consensus prediction of GO terms

Molecular Function	GO:0008270	GO:0070290	GO:0008409	GO:0003723	GO:0042781
GO-Score	0.65	0.45	0.44	0.44	0.35
Biological Processes	GO:0009395	GO:0001523	GO:0006378	GO:0000398	GO:0006398	GO:0006406	GO:0006379	GO:0006369	GO:0034414
GO-Score	0.45	0.45	0.44	0.44	0.44	0.44	0.44	0.44	0.35
Cellular Component	GO:0005737	GO:0042622	GO:0070062	GO:0005847	GO:0030529
GO-Score	0.45	0.45	0.45	0.44	0.44

(a)	Cscore^GO 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)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a 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 Cscore^GO 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.