I-TASSER results

I-TASSER results for job id Rv2631

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

Input Sequence in FASTA format

>protein (432 residues)
MQVVNVATLPGIVRASYAMPDVHWGYGFPIGGVAATDVDNDGVVSPGGVGFDISCGVRLL
VGEGLDREELQPRLPAVMDRLDRAIPRGVGTAGVWRLPDRNTLQEVLTGGARFAVEQGHG
VALDLERCEDGGVMTGADAAKISDRALQRGLGQIGSLGSGNHFLEVQAVDRVYDPVAAAP
MGLAEGTVCVMIHTGSRGLGHQICTDHVRQMEQAMGRYGIAVPDRQLACVPVHSPDGQAY
LAAMAAAANYGRANRQLLTEATRRVFADATGTPLDLLYDVSHNLAKIETHPIDGQLRSVC
VHRKGATRSLPPHHHELPAELAAVGQPVLIPGTMGTASYVLAGVTGNPAFFSTAHGAGRV
LSRHQAARHTSGEAIRASLAKRGIIVRGTSRRGIAEEKPEAYKDVDEVIEASHQSGLARK
VARLVPLGCVKG

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MQVVNVATLPGIVRASYAMPDVHWGYGFPIGGVAATDVDNDGVVSPGGVGFDISCGVRLLVGEGLDREELQPRLPAVMDRLDRAIPRGVGTAGVWRLPDRNTLQEVLTGGARFAVEQGHGVALDLERCEDGGVMTGADAAKISDRALQRGLGQIGSLGSGNHFLEVQAVDRVYDPVAAAPMGLAEGTVCVMIHTGSRGLGHQICTDHVRQMEQAMGRYGIAVPDRQLACVPVHSPDGQAYLAAMAAAANYGRANRQLLTEATRRVFADATGTPLDLLYDVSHNLAKIETHPIDGQLRSVCVHRKGATRSLPPHHHELPAELAAVGQPVLIPGTMGTASYVLAGVTGNPAFFSTAHGAGRVLSRHQAARHTSGEAIRASLAKRGIIVRGTSRRGIAEEKPEAYKDVDEVIEASHQSGLARKVARLVPLGCVKG
Prediction	HHHHHHHHCCCCEEEEEEHCCCCCCCCCCCCEEEEEHCCCCCEEHCCCCCCCCCCEEEEEEHCCCCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCCEEEEEEEEEEHCCHHHHHHHCCCCCEEEEEEHCCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCEHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCEEEEHCCCHHHHHEEEHCCCCCEEEEEEEHCCCCCCCCCCCCCCHHHHHCCCEEEHCCCCCCCEEEEHCCCCCCCCCCCCCCCCCCCCHHHHHHHCCHHHHHHHHHHHCEEEEHCCCCHHHHHCHHHCCCHHHHHHHHHHHCCEEEEEEEEEEEEHCC
Conf.Score	579999989984456787478889888766757765456788676576677779769999957998777676899999999998888889888766787899999998768889987567646678776556667877777788888875665788999866999987654445788998799899699999859858999999999999999999979999986554555899999999999999999999999999999999999998997568776455544444444588765799986455557899887787677665986998588998679998789865567778876665568999975999999999987597999868656777667766999999999998687467899999999869
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MQVVNVATLPGIVRASYAMPDVHWGYGFPIGGVAATDVDNDGVVSPGGVGFDISCGVRLLVGEGLDREELQPRLPAVMDRLDRAIPRGVGTAGVWRLPDRNTLQEVLTGGARFAVEQGHGVALDLERCEDGGVMTGADAAKISDRALQRGLGQIGSLGSGNHFLEVQAVDRVYDPVAAAPMGLAEGTVCVMIHTGSRGLGHQICTDHVRQMEQAMGRYGIAVPDRQLACVPVHSPDGQAYLAAMAAAANYGRANRQLLTEATRRVFADATGTPLDLLYDVSHNLAKIETHPIDGQLRSVCVHRKGATRSLPPHHHELPAELAAVGQPVLIPGTMGTASYVLAGVTGNPAFFSTAHGAGRVLSRHQAARHTSGEAIRASLAKRGIIVRGTSRRGIAEEKPEAYKDVDEVIEASHQSGLARKVARLVPLGCVKG
Prediction	500220031040130000000000021000000000326543101010002000000001124504344046305400520262021011344424234452035005400310044113244015202422214414254035333544352133441100000022025113543155150452100000000003101300330042035005626361334200102251620330040020003003000300041014002510725042001000000221414354442200001200030113435413541364421000000021000001025344010000000113113420244143740353056210201044452025003300330440051057240042003010100028
	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                 380                 400                 420

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

Sec.Str
Seq

HHHHHHHHCCCCEEEEEEHCCCCCCCCCCCCEEEEEHCCCCCEEHCCCCCCCCCCEEEEEEHCCCCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHCCCCCCCCEEEEEEEEEEHCCHHHHHHHCCCCCEEEEEEHCCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCEHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCEEEEHCCCHHHHHEEEHCCCCCEEEEEEEHCCCCCCCCCCCCCCHHHHHCCCEEEHCCCCCCCEEEEHCCCCCCCCCCCCCCCCCCCCHHHHHHHCCHHHHHHHHHHHCEEEEHCCCCHHHHHCHHHCCCHHHHHHHHHHHCCEEEEEEEEEEEEHCC
MQVVNVATLPGIVRASYAMPDVHWGYGFPIGGVAATDVDNDGVVSPGGVGFDISCGVRLLVGEGLDREELQPRLPAVMDRLDRAIPRGVGTAGVWRLPDRNTLQEVLTGGARFAVEQGHGVALDLERCEDGGVMTGADAAKISDRALQRGLGQIGSLGSGNHFLEVQAVDRVYDPVAAAPMGLAEGTVCVMIHTGSRGLGHQICTDHVRQMEQAMGRYGIAVPDRQLACVPVHSPDGQAYLAAMAAAANYGRANRQLLTEATRRVFADATGTPLDLLYDVSHNLAKIETHPIDGQLRSVCVHRKGATRSLPPHHHELPAELAAVGQPVLIPGTMGTASYVLAGVTGNPAFFSTAHGAGRVLSRHQAARHTSGEAIRASLAKRGIIVRGTSRRGIAEEKPEAYKDVDEVIEASHQSGLARKVARLVPLGCVKG

1uc2A

0.54

0.53

0.99

3.16

MUSTER

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFDVKE-GVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHWTQ-IDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKQDMDIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTEGKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

1uc2A

0.53

0.99

4.86

dPPAS

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFDVKE-GVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHW-TQIDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKQDMDIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTAMKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

1uc2A

0.53

0.99

6.53

wdPPAS

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFD-VKEGVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHWTQ-IDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKQDPEIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTEGKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

1uc2A

0.53

0.99

3.70

wMUSTER

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFDVKE-GVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHWTQ-IDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKQDPEIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTEGKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

1uc2A

0.53

0.99

5.83

wPPAS

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFD-VKEGVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHWT-QIDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKLGMDIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTEGKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

1uc2A

0.53

0.99

12.30

dPPAS2

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFDVKE-GVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHW-TQIDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKQDMDIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTAMKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

1uc2A

0.53

0.99

5.54

PPAS

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFD-VKEGVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHWT-QIDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKQGMDIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTAMKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

1uc2A

0.53

0.99

9.76

Env-PPAS

EQATNVAMLPGIYKYSIVMPDGHQGYGFPIGGVAAFDVKE-GVISPGGIGYDINCGVRLIR-TNLTEKEVRPRIKQLVDTLFKNVPSGVGSQGRIKLHWT-QIDDVLVDGAKWAVDNGYGWERDLERLEEGGRMEGADPEAVSQRAKQRGAPQLGSLGSGNHFLEVQVVDKIFDPEVAKAYGLFEGQVVVMVHTGSRGLGHQVASDYLRIMERAIRKYRIPWPDRELVSVPFQSEEGQRYFSAMKAAANFAWANRQMITHWVRESFQEVFKQDPDIVYDVAHNIGKVEEHEVDGKRVKVIVHRKGATRAFPPGHEAVPRLYRDVGQPVLIPGSMGTASYILAGTAMKETFGSTCHGAGRVLSRKAATRQYRGDRIRQELLNRGIYVRAASMRVVAEEAPGAYKNVDNVVKVVSEAGIAKLVARMRPIGVAKG

2epgB

0.52

0.47

0.91

2.67

MUSTER

LQQLNVATLPG-IVEPALAPDIHWGYGFPIGGVAAFDPEEGGVVSPGGVGFDINCGVRLLAS-HLTLEDLLPRQKELADALYRLVPSGRDVR-----FSKRELKEILKEGAGWLVKRGYGYPEDVRFIESQGRLPWANPDKVSERAFERGAPQIGTLGSGNHFLEVQYVDEVYDEEAALAFGLFKGQVTVLIHTGSRGLGHQVCQDYVERFLKVAPRYGIELVDKQLAAAPIKS-PEGQDYLQAAAAANFAFANRQLIAHFVREAFEKVGFTGLRVLYDLAHNNAKFEEHR----GRRVLVHRKGATRAFGPGHPEVPEEYRRVGQPVLVPGDG-RYSYVLAGTEKEVSFGSSCHGAGRNLVK--------------ELAERGILVRA-------------ATDVSLVVEAVEGAGIGKKVARLRPLIVVKG

2epgB

0.52

0.47

0.91

4.05

dPPAS

LQQLNVATLPG-IVEPALAPDIHWGYGFPIGGVAAFDPEEGGVVSPGGVGFDINCGVRLLAS-HLTLEDLLPRQKELADALYRLVPSGRDVR-----FSKRELKEILKEGAGWLVKRGYGYPEDVRFIESQGRLPWANPDKVSERAFERGAPQIGTLGSGNHFLEVQYVDEVYDEEAALAFGLFKGQVTVLIHTGSRGLGHQVCQDYVERFLKVAPRYGIELVDKQLAAAPIKS-PEGQDYLQAAAAANFAFANRQLIAHFVREAFEKVGFTGLRVLYDLAHNNAKFEEHR----GRRVLVHRKGATRAFGPGHPEVPEEYRRVGQPVLVPGD-GRYSYVLAGTEKEVSFGSSCHGAGRNLVK--------------ELAERGILVRA-------------ATDVSLVVEAVEGAGIGKKVARLRPLIVVKG

(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 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.)

More about C-score

Local structure accuracy of first model

Download Model 1

C-score=2.00

Estimated TM-score = 0.99±0.04

Estimated RMSD = 2.9±2.1Å

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	1uc2A	0.984	0.75	0.538	0.993
2	2epgB	0.878	1.47	0.543	0.907
3	3l4uA	0.372	7.64	0.052	0.662
4	1ffvB	0.365	6.80	0.040	0.572
5	1n63B	0.364	6.63	0.045	0.562
6	3iv9A	0.360	5.90	0.064	0.523
7	1m56A	0.356	5.89	0.032	0.509
8	1uwkA	0.353	6.81	0.057	0.572
9	2fknB	0.351	6.87	0.067	0.569
10	3pflA	0.350	6.78	0.051	0.562

(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	0.16	5	4dwrA	SO4	Rep, Mult	52,55,162,283
2	0.14	4	4isjA	MN	Rep, Mult	55,161,193,282
3	0.14	4	4dwqA	5GP	Rep, Mult	161,163,165,193,282,331,332,333,334,338,355,357,358,397,402,431
4	0.13	4	4dwrB	SO4	Rep, Mult	25,26,30,50,51,304
5	0.10	4	4dwrB	SO4	Rep, Mult	158,159,197
6	0.07	2	4dwqA	POP	Rep, Mult	23,161,359,363,402
7	0.05	2	4dwqB	PO4	Rep, Mult	61,127,180,321
8	0.04	2	4dwqB	PO4	Rep, Mult	149,153,197,198
9	0.03	2	3dtuA	TRD	Rep, Mult	196,198,243,246,250
10	0.03	2	3ehbA	CA	Rep, Mult	82,85,86,88
11	0.02	1	4dwrC	SO4	Rep, Mult	218,234,235
12	0.02	1	4dwrB	SO4	Rep, Mult	86,87,88,90,91,92,93,94,96
13	0.02	1	1uc20	III	Rep, Mult	83,86,87,88,89,90,91,92,94,96,145,148,153,363,364,367,387,389,392,396
14	0.02	1	4dwqA	PO4	Rep, Mult	140,141,239
15	0.01	1	3fyeC	UNX	Rep, Mult	335,336,427,429

	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	0.060	1n63B	0.364	6.63	0.045	0.562	1.2.99.2	NA
2	0.060	1b8fA	0.333	6.97	0.036	0.539	4.3.1.3	NA
3	0.060	3czoB	0.338	6.92	0.047	0.539	4.3.1.3	NA
4	0.060	1w27A	0.339	6.66	0.078	0.530	4.3.1.24	NA
5	0.060	1mswD	0.307	6.84	0.054	0.495	2.7.7.6	NA
6	0.060	1h0hA	0.333	7.52	0.036	0.581	1.2.1.2	335
7	0.060	2g3mF	0.343	7.27	0.038	0.593	3.2.1.20	305
8	0.060	1occA	0.330	6.43	0.044	0.498	1.9.3.1	NA
9	0.060	1k7yA	0.364	5.78	0.062	0.521	2.1.1.13	198
10	0.060	2dkiA	0.332	7.28	0.066	0.565	1.14.13.23	NA
11	0.060	1yrqI	0.338	7.30	0.045	0.569	1.12.2.1	NA
12	0.060	1s76D	0.296	6.60	0.042	0.470	2.7.7.6	NA
13	0.060	3d68C	0.341	6.37	0.061	0.516	3.4.17.20	NA
14	0.060	2boaA	0.338	6.50	0.047	0.523	3.4.17.-	53
15	0.060	2nyfA	0.337	6.94	0.030	0.539	4.3.1.5	NA
16	0.060	1ogpE	0.332	7.00	0.052	0.549	1.8.3.1	NA
17	0.060	1ffuB	0.363	6.67	0.037	0.562	1.2.99.2	NA
18	0.060	1nsaA	0.304	6.99	0.045	0.500	3.4.17.2	NA
19	0.060	1h16A	0.360	7.12	0.045	0.609	2.3.1.54	NA

(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	0.65	0.972	1.28	0.54	0.99	4dwrB	GO:0000394 GO:0003677 GO:0003972 GO:0004518 GO:0004519 GO:0006314 GO:0006396 GO:0008033 GO:0008452 GO:0016539 GO:0016787 GO:0016874 GO:0019002 GO:0030145 GO:0046872 GO:0090305
1	0.60	0.887	1.41	0.55	0.91	2epgB	GO:0006396 GO:0008452 GO:0016874 GO:0046872
2	0.06	0.370	7.45	0.06	0.65	3lppA	GO:0003824 GO:0004553 GO:0004558 GO:0004574 GO:0004575 GO:0005794 GO:0005886 GO:0005903 GO:0005975 GO:0008152 GO:0016020 GO:0016021 GO:0016324 GO:0016787 GO:0016798 GO:0030246 GO:0044245 GO:0070062
3	0.06	0.372	7.64	0.05	0.66	3l4uA	GO:0000023 GO:0003824 GO:0004339 GO:0004553 GO:0004558 GO:0005886 GO:0005975 GO:0005983 GO:0008152 GO:0016020 GO:0016021 GO:0016160 GO:0016324 GO:0016787 GO:0016798 GO:0030246 GO:0032450 GO:0044245 GO:0070062
4	0.06	0.367	7.39	0.04	0.64	3wemA	GO:0000023 GO:0003824 GO:0004553 GO:0004558 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246 GO:0032450
5	0.06	0.337	7.47	0.05	0.58	5dkyA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246
6	0.06	0.324	7.63	0.03	0.58	5aedA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246
7	0.06	0.335	7.77	0.04	0.61	3nsxA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246
8	0.06	0.343	7.27	0.04	0.59	2g3mF	GO:0000023 GO:0003824 GO:0004553 GO:0004558 GO:0005737 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246 GO:0032450
9	0.06	0.328	7.11	0.06	0.56	5f7sB	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246
10	0.06	0.336	7.55	0.04	0.58	2xvgA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246
11	0.06	0.327	7.48	0.04	0.56	4kwuA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246 GO:0046872
12	0.06	0.329	7.48	0.05	0.57	5djwA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246
13	0.06	0.300	7.71	0.03	0.53	4ba0A	GO:0003824 GO:0004553 GO:0005975 GO:0016740 GO:0016757 GO:0030246 GO:0033825
14	0.06	0.297	7.58	0.05	0.52	2f2hA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246 GO:0042802 GO:0061634 GO:0080176
15	0.06	0.299	6.78	0.06	0.48	2wu8A	GO:0004347 GO:0005737 GO:0005886 GO:0006094 GO:0006096 GO:0016853 GO:0040007
16	0.06	0.302	7.15	0.03	0.50	4xpqA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246
17	0.06	0.370	7.13	0.04	0.62	4amwA	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0016829 GO:0030246 GO:0047457
18	0.06	0.312	6.76	0.05	0.50	5f7cC	GO:0003824 GO:0004553 GO:0005975 GO:0008152 GO:0016787 GO:0016798 GO:0030246

Consensus prediction of GO terms

Molecular Function	GO:0019002	GO:0030145	GO:0003972	GO:0003677	GO:0004519	GO:0090599
GO-Score	0.65	0.65	0.65	0.65	0.65	0.36
Biological Processes	GO:0016539	GO:0000394	GO:0090305	GO:0006314	GO:0008033
GO-Score	0.65	0.65	0.65	0.65	0.65
Cellular Component	GO:0016021	GO:0070062	GO:0016324	GO:0005903	GO:0005794
GO-Score	0.12	0.12	0.12	0.06	0.06

(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.