D-I-TASSER P41252-D2

D-I-TASSER results for P41252-D2

[Click result.zip to download all results on this page]

Input Sequence in FASTA format

>P41252 (431 residues)
NCFQECLKQSKHKPKFTFYDGPPFATGLPHYGHILAGTIKDIVTRYAHQSGFHVDRRFGW
DCHGLPVEYEIDKTLGIRGPEDVAKMGITEYNNQCRAIVMRYSAEWKSTVSRLGRWIDFD
NDYKTLYPQFMESVWWVFKQLYDKGLVYRGVKVMPFSTACNTPLSNFESHQNYKDYPFCW
RSDTPLIYKAVPSWFVRVENMVDQLLRNNDLCYWVPELVREKRFGNWLKDARDWTISRNR
YWGTPIPLWVSDDFEEVVCIGSVAELEELSGAKISDLHRESVDHLTIPSRCGKGSLHRIS
EVFDCWFESGSMPYAQVHYPFENKREFEDAFPADFIAEGIDQTRGWFYTLLVLATALFGQ
PPFKNVIVNGLVLASDGQKMSKRKKNYPCANGSEQGGVLLLENPKGDNRLDLLKLKSVVT
SIFGVKNTELA

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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| NCFQECLKQSKHKPKFTFYDGPPFATGLPHYGHILAGTIKDIVTRYAHQSGFHVDRRFGWDCHGLPVEYEIDKTLGIRGPEDVAKMGITEYNNQCRAIVMRYSAEWKSTVSRLGRWIDFDNDYKTLYPQFMESVWWVFKQLYDKGLVYRGVKVMPFSTACNTPLSNFESHQNYKDYPFCWRSDTPLIYKAVPSWFVRVENMVDQLLRNNDLCYWVPELVREKRFGNWLKDARDWTISRNRYWGTPIPLWVSDDFEEVVCIGSVAELEELSGAKISDLHRESVDHLTIPSRCGKGSLHRISEVFDCWFESGSMPYAQVHYPFENKREFEDAFPADFIAEGIDQTRGWFYTLLVLATALFGQPPFKNVIVNGLVLASDGQKMSKRKKNYPCANGSEQGGVLLLENPKGDNRLDLLKLKSVVTSIFGVKNTELA
Prediction	CHHHHHHHHCCCCCCSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCSCCCCCCCCCCCCHHHHHHHHHHCCCCCCHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHSSSSSCCCCCCCCCHHHHHHHHHHHHHHHHCCCSSCCCCCSSCCHHHHHHHHHHHHHHCCSSSSSCCCCCCCSSSSSCCCSSSSHHHHHHHHHHHHCCCSSSCCCCCHHHHHHHHHCCCCCSSSCCCCCCCCSSSSSSCCCCCSSCCCHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCSSCCCSSSSSSCCCCCHHHHCCCCCCCHHHHCCCCCCSSSSSCCCCCCHHHHHHHHHHHHHCCCCCHHHHSSCCCSSCCCCCSCCCCCCCCCCHHHHHHCHHHHHHCCCCCCCCCHHHHHHHHHHHHHHCCCCCC
Confidence	48999999748999769964999988996545677625554433310356863566787777871899999999398862013218999999999999999999999999871477625898617886789999999999998197225873345254561778874443054122212346981698603635887189999999985563896763221389999852798414114688984358995899967614449999999713411127663110246778898771773535886535776624440676533244345898159983156250389999999999639983131112362777999842445699885488875447885086546611788988999998710254179
	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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| NCFQECLKQSKHKPKFTFYDGPPFATGLPHYGHILAGTIKDIVTRYAHQSGFHVDRRFGWDCHGLPVEYEIDKTLGIRGPEDVAKMGITEYNNQCRAIVMRYSAEWKSTVSRLGRWIDFDNDYKTLYPQFMESVWWVFKQLYDKGLVYRGVKVMPFSTACNTPLSNFESHQNYKDYPFCWRSDTPLIYKAVPSWFVRVENMVDQLLRNNDLCYWVPELVREKRFGNWLKDARDWTISRNRYWGTPIPLWVSDDFEEVVCIGSVAELEELSGAKISDLHRESVDHLTIPSRCGKGSLHRISEVFDCWFESGSMPYAQVHYPFENKREFEDAFPADFIAEGIDQTRGWFYTLLVLATALFGQPPFKNVIVNGLVLASDGQKMSKRKKNYPCANGSEQGGVLLLENPKGDNRLDLLKLKSVVTSIFGVKNTELA
Prediction	72054026416843401000000200440000001021200000101104324041100000000000230055143644642561316401520161045016403610430000001532321032610130030013017411003433004004503520341224324231320441410011202410103046005302600560301053024310230066041000000013000000010461532302620440153046402301121036120126256750431401041444010000000212252363166300010000120201010000000000124300030000000000760420112330203520362001000221233130246104300430340333538
	Values range from 0 (buried residue) to 8 (highly exposed residue)

Predicted Contact, Hydrogen and Distance Map Used in D-I-TASSER simulation

Contact Map

Distance Map

Hydrogen bond networks

D-I-TASSER simulation is guided by the consensus contact map (left figure), distance map (middle figure) and Hydrogen bond network (right figure) derived based on confidence scores of DeepPotential. In the contact, distance map and hydrogen bond networks, the axes mark the residue index along the sequence. For the contact map, each dot represents a residue pair with predicted contact, while for the distance map and hydrogen bond network, a color scale represents a distance of 1-20+ angstroms or a angle of 0-180 degree.

Top 10 threading templates used by D-I-TASSER

Rank

PDB
hit

ID1

ID2

Cov

Norm.
Zscore

Download
alignment

                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400                 420

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

SS
Seq

CHHHHHHHHCCCCCCSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCSCCCCCCCCCCCCHHHHHHHHHHCCCCCCHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHSSSSSCCCCCCCCCHHHHHHHHHHHHHHHHCCCSSCCCCCSSCCHHHHHHHHHHHHHHCCSSSSSCCCCCCCSSSSSCCCSSSSHHHHHHHHHHHHCCCSSSCCCCCHHHHHHHHHCCCCCSSSCCCCCCCCSSSSSSCCCCCSSCCCHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCSSCCCSSSSSSCCCCCHHHHCCCCCCCHHHHCCCCCCSSSSSCCCCCCHHHHHHHHHHHHHCCCCCHHHHSSCCCSSCCCCCSCCCCCCCCCCHHHHHHCHHHHHHCCCCCCCCCHHHHHHHHHHHHHHCCCCCC
NCFQECLKQSKHKPKFTFYDGPPFATGLPHYGHILAGTIKDIVTRYAHQSGFHVDRRFGWDCHGLPVEYEIDKTLGIRGPEDVAKMGITEYNNQCRAIVMRYSAEWKSTVSRLGRWIDFDNDYKTLYPQFMESVWWVFKQLYDKGLVYRGVKVMPFSTACNTPLSNFESHQNYKDYPFCWRSDTPLIYKAVPSWFVRVENMVDQLLRNNDLCYWVPELVREKRFGNWLKDARDWTISRNRYWGTPIPLWVSDDFEEVVCIGSVAELEELSGAKISDLHRESVDHLTIPSRCGKGSLHRISEVFDCWFESGSMPYAQVHYPFENKREFEDAFPADFIAEGIDQTRGWFYTLLVLATALFGQPPFKNVIVNGLVLASDGQKMSKRKKNYPCANGSEQGGVLLLENPKGDNRLDLLKLKSVVTSIFGVKNTELA

7d5cA

0.62

17.66

1.50

DEthreader

DAFHTSLELTKDKPEFSFFDGPPFATGTPHYGHILASTIKDIVPRYATMTGHHVERRFGWDTHGVPIEHIIDKKLGITGKDDVFKYGLENYNNECRSIVMTYASDWRKTIGRLGRWIDFDNDYKTMYPSFMESTWWAFKQLHEKGQVYRGFKVMPYSTGLTTPLSNFEAQQYKHSYPFCWRSDTPLLYRSVPAWFVRVKNIVPQMLDSVMKSHWVPNTIKEKRFANWIANARDWNVSRNRYWGTPIPLWVSDDFEEVVCVGSIKELEELTGVRITDLHRDVIDKLTIPSKQGKGDLKRIEEVFDCWFESGSMPYASQHYPFENTEKFDERVPANFISEGLDQTRGWFYTLAVLGTHLFGSVPYKNVIVSGIVLAADGRKMSKSLKNYPDPSVLAALRLYLINSPVESLKFKEEGVKEVVSKVLLPWWNFKD

6ldkA2

0.64

0.62

17.83

3.08

SPARKS-K

NAFQRTLELTEDLPPFAFFDGPPFATGTPHYGHILASTVKDIIPRYATMNGYHVERRFGWDTHGLPVEHEIDKKLNITSKEDVYAMGIDKYNAECRAIVMRYADEWRRTIKRLGRWIDMDNDYKTLYPEFMESVWWAFKELFNKDAVYRGLRVMPYSTACTTPLSNFEAQQNYKSYPFCWRSDTPLMYRTVPAWFVRIGEVIPEMLDNVEKTNWVPSNIKDKRFSNWIANARDWNISRNRYWGTPIPLWVSDDFEEMVCVGSIQELRELSGRDDITDHRESIDSITIPSKKGKGQLKRIEEVFDCWFESGSMPYASKHYPFENEKKFLDAFPANFISEGLDQTRGWFYTLTVLGTHLFKTAPYQNVIVTGIVLAADGKKMSKRLKNYPDPTGADALRLYLINSPAETLKFKEEGVKEIVSS----------

6ldkA

0.62

17.65

1.21

MapAlign

-AFQRTLELTEDLPPFAFFDGPPFATGTPHYGHILASTVKDIIPRYATMNGYHVERRFGWDTHGLPVEHEIDKKLNITSKEDVYAMGIDKYNAECRAIVMRYADEWRRTIKRLGRWIDMDNDYKTLYPEFMESVWWAFKELFNKDAVYRGLRVMPYSTACTTPLSNFEANYKKHSYPFCWRSDTPLMYRTVPAWFVRIGEVIPEMLDNVEKTNWVPSNIKDKRFSNWIANARDWNISRNRYWGTPIPLWVSDDFEEMVCVGSIQELRELSGRDITDIHRESIDSITIPSKKGKGQLKRIEEVFDCWFESGSMPYASKHYPFENEKKFLDAFPANFISEGLDQTRGWFYTLTVLGTHLFKTAPYQNVIVTGIVLAADGKKMSKRLKNYPDPTLADALRLYLINSPVLTLKFKEEGVKEIVSSLLPWYN----

6ldkA

0.63

17.98

0.74

CEthreader

NAFQRTLELTEDLPPFAFFDGPPFATGTPHYGHILASTVKDIIPRYATMNGYHVERRFGWDTHGLPVEHEIDKKLNITSKEDVYAMGIDKYNAECRAIVMRYADEWRRTIKRLGRWIDMDNDYKTLYPEFMESVWWAFKELFNKDAVYRGLRVMPYSTACTTPLSNFEAQQNYKEYPFCWRSDTPLMYRTVPAWFVRIGEVIPEMLDNVEKTNWVPSNIKDKRFSNWIANARDWNISRNRYWGTPIPLWVSDDFEEMVCVGSIQELRELSGRDITDIHRESIDSITIPSKKGKGQLKRIEEVFDCWFESGSMPYASKHYPFENEKKFLDAFPANFISEGLDQTRGWFYTLTVLGTHLFKTAPYQNVIVTGIVLAADGKKMSKRLKNYPDPTGADALRLYLINSPVETLKFKEEGVKEIVSSVLLPWYNSYK

1ffyA2

0.29

0.25

7.70

1.96

MUSTER

DQYHKALEKNKGNETFILHDGPPYANGNLHMGHALNKILKDFIVRYKTMQGFYAPYVPGWDTHGLPIEQALTKK------VDRKKMSTAEFREKCKEFALEQIELQKKDFRRLGVRGDFNDPYITLKPEYEAAQIRIFGEMADKGLIYKG------------------------------------------QWFASISKVRQDILDAIENTNFKVNWG-KTRIYNMVRDRGEWVISRQRVWGVPLPVFYAENGEIIMTKETVNHVADLFAEHGREAKDLLPEGFTHPG-SPNGTFTKETDIMDVWFDSGSSHRGVLETRPE------LSFPADMYLEGSDQYRGWFNSSITTSVATRGVSPYKFLLSHGFVMDGEGKKMSKSLGNVIVPDGADIARLWVSSTYLADVRISDEILKQTSDDYRKIRNTLRF

7d5cA

0.62

17.66

2.31

HHsearch

DAFHTSLELTKDKPEFSFFDGPPFATGTPHYGHILASTIKDIVPRYATMTGHHVERRFGWDTHGVPIEHIIDKKLGITGKDDVFKYGLENYNNECRSIVMTYASDWRKTIGRLGRWIDFDNDYKTMYPSFMESTWWAFKQLHEKGQVYRGFKVMPYSTGLTTPLSNFEAQQRAPVYPFCWRSDTPLLYRSVPAWFVRVKNIVPQMLDSVMKSHWVPNTIKEKRFANWIANARDWNVSRNRYWGTPIPLWVSDDFEEVVCVGSIKELEELTGVRITDLHRDVIDKLTIPSKQGKGDLKRIEEVFDCWFESGSMPYASQHYPFENTEKFDERVPANFISEGLDQTRGWFYTLAVLGTHLFGSVPYKNVIVSGIVLAADGRKMSKSLKNYPDPSGADALRLYLINSPLAESKFKEEGVKEVLLPWWNSFKFLDG

6ldkA2

0.64

0.63

17.89

4.04

FFAS-3D

NAFQRTLELTEDLPPFAFFDGPPFATGTPHYGHILASTVKDIIPRYATMNGYHVERRFGWDTHGLPVEHEIDKKLNITSKEDVYAMGIDKYNAECRAIVMRYADEWRRTIKRLGRWIDMDNDYKTLYPEFMESVWWAFKELFNKDAVYRGLRVMPYSTACTTPLSNFEAQQNYKSYPFCWRSDTPLMYRTVPAWFVRIGEVIPEMLDNVEKTNWVPSNIKDKRFSNWIANARDWNISRNRYWGTPIPLWVSDDFEEMVCVGSIQELRELSGRDITDIHRESIDSITIPSKKGKGQLKRIEEVFDCWFESGSMPYASKHYPFENEKKFLDAFPANFISEGLDQTRGWFYTLTVLGTHLFKTAPYQNVIVTGIVLAADGKKMSKRLKNYPDPYGADALRLYLINSRAETLKFKEEGVKEIVSS----------

7d5cA

0.52

0.50

14.57

1.55

EigenThreader

DAFHTSLELTKDKPEFSFFDGPPFATGTPHYGHILASTIKDIVPRYATMTGHHVERRFGWDTHGVPIEHIIDKKLGITGKDDVFKYGLENYNNECRSIVMTYASDWRKTIGRLGRWIDFDNDYKTMYPSFMESTWWAFKQLHEKGQVYRGFKVMPYSTGLTPAFNAACLKNGVISEDCWRSDTPLLYRSVP--AWFVRVIVPQMLDSVMKSHWVPNTIKEK-RFANWIANANVSRN---RYWGTPIPLWVSDDFEEVVCVGSIKELEELTGVRN------ITDLHIDKLKQGKGDLKRIEEVFDCWFESGSMPYASQHYPFENTEKFDERVPANFISEGLDQTRGWFYTLAVLGTHLFGSVPYKNVIVSGIVLAADGRKMSKSLKNYPDKYGADALRLYLINSPVLKAESKEEGVKEVVSKVLLPWWNSFK

6ldkA

0.63

17.97

3.18

CNFpred

NAFQRTLELTEDLPPFAFFDGPPFATGTPHYGHILASTVKDIIPRYATMNGYHVERRFGWDTHGLPVEHEIDKKLNITSKEDVYAMGIDKYNAECRAIVMRYADEWRRTIKRLGRWIDMDNDYKTLYPEFMESVWWAFKELFNKDAVYRGLRVMPYSTACTTPLSNFEAQQNYKSYPFCWRSDTPLMYRTVPAWFVRIGEVIPEMLDNVEKTNWVPSNIKDKRFSNWIANARDWNISRNRYWGTPIPLWVSDDFEEMVCVGSIQELRELSGRDITDIHRESIDSITIPSKKGKGQLKRIEEVFDCWFESGSMPYASKHYPFENEKKFLDAFPANFISEGLDQTRGWFYTLTVLGTHLFKTAPYQNVIVTGIVLAADGKKMSKRLKNYPDP-GADALRLYLINSPAETLKFKEEGVKEIVSVLLPWYNSYKF

6ldkA

0.61

17.35

1.50

DEthreader

NAFQRTLELTEDLPPFAFFDGPPFATGTPHYGHILASTVKDIIPRYATMNGYHVERRFGWDTHGLPVEHEIDKKLNITSKEDVYAMGIDKYNAECRAIVMRYADEWRRTIKRLGRWIDMDNDYKTLYPEFMESVWWAFKELFNKDAVYRGLRVMPYSTACTTPLEAQQNYKVNDTKPFCWRSDTPLMYRTVPAWFVRIGEVIPEMLDNVEKTNWVPSNIKDKRFSNWIANARDWNISRNRYWGTPIPLWVSDDFEEMVCVGSIQELRELSGRDITDIHRESIDSITIPSKKGKGQLKRIEEVFDCWFESGSMPYASKHYPFENEKKFLDAFPANFISEGLDQTRGWFYTLTVLGTHLFKTAPYQNVIVTGIVLAADGKKMSKRLKNYPDPTVLAALRLYLINSPLATLKFKEEGVKEIVSSVLLPWYNYKK

(a)	ID1 is the number of template residues identical to query divided by number of aligned residues.
(b)	ID2 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 and is highlighted in bold.
(e)	Download alignment lists the threading program used to identify the template, and provide the 3D structure of aligned regions of threading templates (threading[1-10].pdb.gz).
(f)	Template residues identical to query sequence are highlighted in color.

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.7661

(a)

D-I-TASSER simulations generate a large ensemble of structural conformations, i.e. decoys. These decoys are clustered by SPICKER based on pairwise structure similarity to report up to five final models from the five largest clusters. Models are ranked in descending order of cluster size. If the simulations converge well, it is possible to have less than 5 models generated, which is usually an indication of good model quality.

(b)

The model confidence is quantitatified by estimated TM-score (eTM-score), calculated based on significance of threading template alignments, contact map satisfaction rate, mean absolute error between distance of model and distance of DeepPotential, and convergence of D-I-TASSER simulations. eTM-score is typically in the range of [0, 1], with higher eTM-score signifies higher model confidence.

Proteins with similar structure

Top 10 structural analogs in PDB (as identified by TM-align)

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	Download Alignment
1	6ldkA	0.97	1.30	0.626	1.000	model1_6ldkA.pdb.gz
2	7d5cA	0.95	2.07	0.608	1.000	model1_7d5cA.pdb.gz
3	1jzsA	0.95	1.87	0.433	0.998	model1_1jzsA.pdb.gz
4	1ivsA	0.86	2.81	0.257	0.951	model1_1ivsA.pdb.gz
5	1ffyA	0.84	3.33	0.243	0.937	model1_1ffyA.pdb.gz
6	3ziuB	0.83	2.79	0.242	0.919	model1_3ziuB.pdb.gz
7	2v0gA	0.82	2.96	0.229	0.921	model1_2v0gA.pdb.gz
8	5ah5A	0.82	2.93	0.217	0.919	model1_5ah5A.pdb.gz
9	6ykkA	0.80	3.24	0.217	0.919	model1_6ykkA.pdb.gz
10	4aq7A	0.80	3.34	0.226	0.914	model1_4aq7A.pdb.gz

(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 Gene Ontology (GO) Terms

Molecular Function (MF)

GO term	Cscore^GO	Name
GO:0004812	1.00	aminoacyl-tRNA ligase activity
GO:0004822	0.74	isoleucine-tRNA ligase activity
GO:0005524	0.61	ATP binding
GO:0002161	0.56	aminoacyl-tRNA editing activity

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Molecular Function. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Biological Process (BP)

GO term	Cscore^GO	Name
GO:0044699	1.00	single-organism process
GO:0006418	0.99	tRNA aminoacylation for protein translation
GO:0006428	0.72	isoleucyl-tRNA aminoacylation
GO:0050794	0.57	regulation of cellular process
GO:0006450	0.56	regulation of translational fidelity

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Biological Process. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Cellular Component (CC)

GO term	Cscore^GO	Name
GO:0005737	1.00	cytoplasm
GO:0005829	0.99	cytosol

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Cellular Component. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Predicted Enzyme Commission (EC) Numbers

Top 5 enzyme homologs in PDB

Rank	Cscore^EC	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	EC Number	Predicted Active Site Residues
1	0.125	1h3fB	0.428	4.61	0.109	0.536	6.1.1.1	379,382
2	0.084	1g59A	0.523	3.88	0.111	0.620	6.1.1.17	382
3	0.076	1a8hA	0.717	2.72	0.213	0.796	6.1.1.10	NA
4	0.067	2ct8B	0.665	2.28	0.206	0.717	6.1.1.10	303
5	0.067	3c8zB	0.578	3.85	0.115	0.675	6.1.1.16	NA

	Click on the radio buttons to visualize predicted active site residues.
(a)	Cscore^EC is the confidence score for the Enzyme Commission (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.

Predicted Ligand Binding Sites

Template proteins with similar binding site:

Rank	Cscore^LB	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	BS-score	Lig. Name	Download Complex	Predicted binding site residues
1	0.65	1gaxA	0.860	2.71	0.258	0.944	0.97	VAA	complex1.pdb.gz	21,22,24,30,32,33,36,61,306,309,338,339,341,342,346,369,370,371,372,380
2	0.31	1obhA	0.734	2.80	0.224	0.817	0.96	UUU	complex2.pdb.gz	21,22,23,24,32,33,36,37,61,336,348,371,372,380
3	0.22	1f4lA	0.687	3.55	0.145	0.791	0.82	MET	complex3.pdb.gz	21,22,24,61,342,346
4	0.21	1pg2A	0.653	2.87	0.163	0.724	0.84	ADN	complex4.pdb.gz	21,23,30,32,33,36,339,342,369,370,371,372

	Click on the radio buttons to visualize predicted binding site and residues.
(a)	Cscore^LB is the confidence score of predicted binding site. Cscore^LB values range in between [0-1]; where a higher score indicates a more reliable ligand-binding site prediction.
(b)	BS-score is a measure of local similarity (sequence & structure) between template binding site and predicted binding site in the query structure. Based on large scale benchmarking analysis, we have observed that a BS-score >1 reflects a significant local match between the predicted and template binding site.
(c)	TM-score is a measure of global structural similarity between query and template protein.
(d)	RMSD^a the RMSD between residues that are structurally aligned by TM-align.
(e)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(f)	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.

[Click result.zip to download all results on this page]

References:
1.	Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023.