D-I-TASSER Q9UJX3-D4

D-I-TASSER results for Q9UJX3-D4

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

Input Sequence in FASTA format

>Q9UJX3 (67 residues)
LEDVENLGCRLFNISDQHAEPWVVSGCHSFYSKRYSRALYLGAKAIQLNSNSVQALLLKG
AALRNMG

Predicted Secondary Structure

Sequence	20 40 60 \| \| \| LEDVENLGCRLFNISDQHAEPWVVSGCHSFYSKRYSRALYLGAKAIQLNSNSVQALLLKGAALRNMG
Prediction	CHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHCC
Confidence	5689999999853123784179999999997512158999999986079346899999999998619
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 \| \| \| LEDVENLGCRLFNISDQHAEPWVVSGCHSFYSKRYSRALYLGAKAIQLNSNSVQALLLKGAALRNMG
Prediction	5741452044215146742421102011331465243023114423414474033212313334738
	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

                   |                   |                   |

SS
Seq

CHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHCC
LEDVENLGCRLFNISDQHAEPWVVSGCHSFYSKRYSRALYLGAKAIQLNSNSVQALLLKGAALRNMG

6gxzA

0.18

5.84

1.67

DEthreader

YERAIECYTRGIAADGANALLPANRAMAYLKIQKYEEAEKDCTQAILLDGSYSKAFARRGTARTFLG

3as4A2

0.13

4.63

1.46

SPARKS-K

YDLAVPLLIKVAEANPINFNVRFRLGVALDNLGRFDEAIDSFKIALGLRPNEGKVHRAIAFSYEQMG

6b85J

0.21

6.64

1.05

MUSTER

LDEAAEAYKKAIELKPNDASAWKELGKVLEKLGRLDEAAEAYKKAIELDPEDAEAWKELGKVLEKLG

4xi0A2

0.09

3.42

1.42

FFAS-3D

YKLALPVLEAVVAAAPADARAYYLLGLAYDGDEQLEKGIEAMQKAVDLDPEEIKYHQHLGFMNVRKD

4cgwA

0.18

5.84

1.67

DEthreader

YERAIECYTRGIAADGANALLPANRAMAYLKIQKYEEAEKDCTQAILLDGSYSKAFARRGTARTFLG

4xi0A2

0.09

3.42

1.45

SPARKS-K

YKLALPVLEAVVAAAPADARAYYLLGLAYDGDEQLEKGIEAMQKAVDLDPEEIKYHQHLGFMNVRKD

5lynA

0.15

5.01

0.55

MapAlign

YELAINKYTEAIKVLPTNAIYYANRAAAHSSLKEYDQAVKDAESAISIDPSYFRGYSRLGFAKYAQ-

5lynA

0.16

5.43

0.36

CEthreader

YELAINKYTEAIKVLPTNAIYYANRAAAHSSLKEYDQAVKDAESAISIDPSYFRGYSRLGFAKYAQG

3gz1A

0.15

5.03

1.02

MUSTER

IEEAEVFFRFLCIYDFYNVDYIMGLAAIYQIKEQFQQAADLYAVAFALGKNDYTPVFHTGQCQLRLK

6gmhQ

0.06

2.61

0.51

HHsearch

QDRALAIYKQVLRNDAKNLYAANGIGAVLAHKGYFREARDVFAQVREATADISDVWLNLAHIYVEQK

(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	0.8607

(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	6gxzA	0.97	0.54	0.179	1.000	model1_6gxzA.pdb.gz
2	2vyiA	0.96	0.58	0.149	1.000	model1_2vyiA.pdb.gz
3	1w3bA	0.96	0.61	0.194	1.000	model1_1w3bA.pdb.gz
4	3pe3A	0.96	0.62	0.164	1.000	model1_3pe3A.pdb.gz
5	6hpgA	0.96	0.62	0.149	1.000	model1_6hpgA.pdb.gz
6	4cgwA	0.95	0.64	0.179	1.000	model1_4cgwA.pdb.gz
7	6b85J	0.95	0.63	0.239	1.000	model1_6b85J.pdb.gz
8	1wao1	0.95	0.65	0.149	1.000	model1_1wao1.pdb.gz
9	2hyzA	0.95	0.66	0.209	1.000	model1_2hyzA.pdb.gz
10	1elwA	0.95	0.67	0.149	1.000	model1_1elwA.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:0019903	1.00	protein phosphatase binding

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:0070979	1.00	protein K11-linked ubiquitination
GO:0065007	0.65	biological regulation
GO:0050789	0.64	regulation of biological process
GO:0050794	0.62	regulation of cellular process
GO:0006508	0.57	proteolysis
GO:0080090	0.56	regulation of primary metabolic process
GO:0060255	0.56	regulation of macromolecule metabolic process
GO:0022402	0.56	cell cycle process
GO:1903047	0.55	mitotic cell cycle process
GO:0051603	0.55	proteolysis involved in cellular protein catabolic process
GO:0031323	0.55	regulation of cellular metabolic process
GO:0009057	0.55	macromolecule catabolic process
GO:0051246	0.54	regulation of protein metabolic process
GO:0048523	0.54	negative regulation of cellular process
GO:0048518	0.54	positive regulation of biological process
GO:0006511	0.54	ubiquitin-dependent protein catabolic process
GO:0048522	0.53	positive regulation of cellular process
GO:0032268	0.53	regulation of cellular protein metabolic process
GO:0051338	0.52	regulation of transferase activity
GO:0042176	0.52	regulation of protein catabolic process
GO:0032270	0.52	positive regulation of cellular protein metabolic process
GO:0031399	0.52	regulation of protein modification process
GO:0031324	0.52	negative regulation of cellular metabolic process
GO:0030163	0.52	protein catabolic process
GO:0010605	0.52	negative regulation of macromolecule metabolic process
GO:0051437	0.51	positive regulation of ubiquitin-protein ligase activity involved in regulation of mitotic cell cycle transition
GO:0044092	0.51	negative regulation of molecular function
GO:0031400	0.51	negative regulation of protein modification process
GO:0051436	0.50	negative regulation of ubiquitin-protein ligase activity involved in mitotic cell cycle
GO:0042787	0.50	protein ubiquitination involved in ubiquitin-dependent protein catabolic process
GO:0031145	0.50	anaphase-promoting complex-dependent catabolic process

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:0005680	1.00	anaphase-promoting complex
GO:0005634	1.00	nucleus
GO:0044444	0.59	cytoplasmic part
GO:0005829	0.55	cytosol
GO:0005654	0.51	nucleoplasm

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	0.197	3eabA	0.548	1.81	0.100	0.702	3.6.4.3	44,46
2	0.123	2fbnA	0.874	1.16	0.134	1.000	5.2.1.8	44,53
3	0.066	1tqgA	0.641	1.74	0.075	0.761	2.7.13.3	20,38,39,46
4	0.060	1d8dA	0.722	1.94	0.076	0.985	2.5.1.58	NA
5	0.060	1lf6A	0.624	2.78	0.047	0.940	3.2.1.3	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	0.17	2bugA	0.902	0.97	0.149	1.000	0.70	III	complex1.pdb.gz	23,27,30,31,53,58,61
2	0.15	3fwvB	0.836	1.39	0.136	0.985	0.68	III	complex2.pdb.gz	23,27,30,33,42,58,61,64,65
3	0.12	2v5fA	0.911	1.15	0.134	1.000	0.76	III	complex3.pdb.gz	30,31,33,35,58,61
4	0.11	3fp2A	0.921	0.77	0.106	0.985	0.86	III	complex4.pdb.gz	8,20,24,54,57,58
5	0.06	1fchA	0.908	0.95	0.104	1.000	0.79	III	complex5.pdb.gz	23,24,26,27,60

	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.