D-I-TASSER Q9UIL8-D1

D-I-TASSER results for Q9UIL8-D1

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

Input Sequence in FASTA format

>Q9UIL8 (331 residues)
MAQASPPRPERVLGASSPEARPAQEALLLPTGVFQVAEKMEKRTCALCPKDVEYNVLYFA
QSENIAAHENCLLYSSGLVECEDQDPLNPDRSFDVESVKKEIQRGRKLKCKFCHKRGATV
GCDLKNCNKNYHFFCAKKDDAVPQSDGVRGIYKLLCQQHAQFPIIAQSAKFSGVKRKRGR
KKPLSGNHVQPPETMKCNTFIRQVKEEHGRHTDATVKVPFLKKCKEAGLLNYLLEEILDK
VHSIPEKLMDETTSESDYEEIGSALFDCRLFEDTFVNFQAAIEKKIHASQQRWQQLKEEI
ELLQDLKQTLCSFQENRDLMSSSTSISSLSY

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MAQASPPRPERVLGASSPEARPAQEALLLPTGVFQVAEKMEKRTCALCPKDVEYNVLYFAQSENIAAHENCLLYSSGLVECEDQDPLNPDRSFDVESVKKEIQRGRKLKCKFCHKRGATVGCDLKNCNKNYHFFCAKKDDAVPQSDGVRGIYKLLCQQHAQFPIIAQSAKFSGVKRKRGRKKPLSGNHVQPPETMKCNTFIRQVKEEHGRHTDATVKVPFLKKCKEAGLLNYLLEEILDKVHSIPEKLMDETTSESDYEEIGSALFDCRLFEDTFVNFQAAIEKKIHASQQRWQQLKEEIELLQDLKQTLCSFQENRDLMSSSTSISSLSY
Prediction	CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSCCCCCCCCCCSSCCCCCSSSHHHHHCCCCCSSSSCCCCCCCCCCCCCCCCHHHHHHHHHCCSSSSCCCCCCSSSCCCCCCCCCSCHHHHHHHCCSSSSCCCCCSSSSSCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCC
Confidence	9988899986655778776677765432353445577888887578685978888512026899398135451148727724777555424555225568878630677233599971332289999841828889870985754588873899751227875443333202233210100124445556234445667877766542112234445776651100130289999999987788765421112277898875044125667765455555544213455899999999999999999999998751321235677666679
	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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MAQASPPRPERVLGASSPEARPAQEALLLPTGVFQVAEKMEKRTCALCPKDVEYNVLYFAQSENIAAHENCLLYSSGLVECEDQDPLNPDRSFDVESVKKEIQRGRKLKCKFCHKRGATVGCDLKNCNKNYHFFCAKKDDAVPQSDGVRGIYKLLCQQHAQFPIIAQSAKFSGVKRKRGRKKPLSGNHVQPPETMKCNTFIRQVKEEHGRHTDATVKVPFLKKCKEAGLLNYLLEEILDKVHSIPEKLMDETTSESDYEEIGSALFDCRLFEDTFVNFQAAIEKKIHASQQRWQQLKEEIELLQDLKQTLCSFQENRDLMSSSTSISSLSY
Prediction	7555635446544654446147466221344522643654641301032464622101116544200100000000201124444234333113063044005403210001054410002023640430000000240302033464544020104422737434654535524465345562566644456535354444434544542452314152035244450244015401641442353125334134215504300320330252245345434653454454154035205304503530352364444345235434146
	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

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

SS
Seq

CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSCCCCCCCCCCSSCCCCCSSSHHHHHCCCCCSSSSCCCCCCCCCCCCCCCCHHHHHHHHHCCSSSSCCCCCCSSSCCCCCCCCCSCHHHHHHHCCSSSSCCCCCSSSSSCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCC
MAQASPPRPERVLGASSPEARPAQEALLLPTGVFQVAEKMEKRTCALCPKDVEYNVLYFAQSENIAAHENCLLYSSGLVECEDQDPLNPDRSFDVESVKKEIQRGRKLKCKFCHKRGATVGCDLKNCNKNYHFFCAKKDDAVPQSDGVRGIYKLLCQQHAQFPIIAQSAKFSGVKRKRGRKKPLSGNHVQPPETMKCNTFIRQVKEEHGRHTDATVKVPFLKKCKEAGLLNYLLEEILDKVHSIPEKLMDETTSESDYEEIGSALFDCRLFEDTFVNFQAAIEKKIHASQQRWQQLKEEIELLQDLKQTLCSFQENRDLMSSSTSISSLSY

4nn2A

0.37

0.13

3.95

1.15

FFAS-3D

----------------------------------------TRPKCGFCHVGEERGKLHIFNAKKAAAHYKCMLFSSGTVQLTTTSRAEFG-DFDIKTVLQEIKRGKRMKCTLCSQPGATIGCEIKACVKTYHYHCGVQDKAKYIENMSRGIYKLYCKNHS---------------------------------------------------------------------------------------------------------------------------------------------------------------------------

1vt4I3

0.04

2.14

1.08

MapAlign

GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG

4nn2A

0.36

0.13

3.87

1.32

SPARKS-K

----------------------------------------TRPKCGFCHEEEARGKLHIFNAKKAAAHYKCMLFSSGTVQ-LTTTSRAEFGDFDIKTVLQEIKRGKRMKCTLCSQPGATIGCEIKACVKTYHYHCGVQDKAKYIENMSRGIYKLYCKNHSG--------------------------------------------------------------------------------------------------------------------------------------------------------------------------

2pffB

0.05

2.35

1.05

MapAlign

GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG--GG--GG--GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGQGSQEQGMGMDLYKTSKAAQDVWNRADNHFKDTGFSILDIVINNPVNLTIHFGGEKGKRIRNYSAIFEFKEINEHSTSYTFRSEKGLLSATQFTQPALTLMEKAAFEDLKSKAALASLADVMSIESLVEVVFYRGMTMQVAVPRDELGRSNYGMIA-----

4nn2A

0.36

0.13

3.87

1.04

MUSTER

----------------------------------------TRPKCGFCHVNEARGKLHIFNAKKAAAHYKCMLFSSGTVQLTTTSRAEFG-DFDIKTVLQEIKRGKRMKCTLCSQPGATIGCEIKACVKTYHYHCGVQDKAKYIENMSRGIYKLYCKNHSG--------------------------------------------------------------------------------------------------------------------------------------------------------------------------

4nn2A

0.36

0.13

3.87

3.27

HHsearch

----------------------------------------TRPKCGFCHVGEARGKLHIFNAKKAAAHYKCMLFSSGTVQLTTTSR-AEFGDFDIKTVLQEIKRGKRMKCTLCSQPGATIGCEIKACVKTYHYHCGVQDKAKYIENMSRGIYKLYCKNHSG--------------------------------------------------------------------------------------------------------------------------------------------------------------------------

5ercA

0.20

0.09

2.90

2.22

HHsearch

NDGECNSNVFCMCNLAVHQECYGVPY--IPEGQCRRCSPSRAVDCALCPNKG--GAF-KQTDDGRWAHVVCALWIPEVCFANTVFLE-P-----IDSIEHIPPARWKLTCYICKQRGACIQCHKANCYTAFHVTCAQQAGLYMKMEPVRVRKTAYCDIHTPP-------------------------------------------------------------------------------------------------------------------------------------------------------------------------

5dagA

0.20

0.09

2.81

2.08

HHsearch

SDERWAENPYCDCSVAVHQACYGIV--QVPTGFCRKCERAARVRCELCPHKD--GALK-RTDNGGWAHVVCALYIPEVQFANVSTMEP----IVL---QSVPHDRYNKTCYICDETGACMTCNKHGCRQAFHVTCAQFAGLLCQ-------YCGYCKYHFSKLKKS---------------------------------------------------------------------------------------------------------------------------------------------------------------------

2lq6A

0.24

0.05

1.51

1.74

HHsearch

--------------------------------------------------------------------------------------------------MNIPPARWKLTCYLCKQKGASIQCHKANCYTAFHVTCAQKAGLYMKMEPVSVRKTAYCDVHTPPGST----------------------------------------------------------------------------------------------------------------------------------------------------------------------

6jpuA

0.13

0.12

4.06

1.12

HHsearch

LGVDSSLSFESVGGLDNYINQPVLFHGPPGTGKTLMARALAAAKGADCLSKTQPSIIFFDEIDGLAPVRSLALMSGQVIIGATNRPDAVLRRFDRKKIIEIHTRNWDPPVP---------EWLCSMLAEKSKGYGGLCTEAALNS--IK---RTYPQLYRSTKR----------------------LQIDPTIKVKVKDFVMSMKRMSERSSISPELQDIEKTLQEEVMYDDPRLETFETLRIYKPR-F----LICGRKGLGQTALGPAILQTLLQDSTQSIETSIIHLFLEVRRHTPSIIYIPDIDNWLNVLDFSDQILFLALSPLELHP

(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	0.4037

(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	1nktA	0.43	5.88	0.051	0.665	model1_1nktA.pdb.gz
2	6sxhA	0.43	5.89	0.055	0.662	model1_6sxhA.pdb.gz
3	2ipcA	0.41	6.02	0.050	0.640	model1_2ipcA.pdb.gz
4	7k66A	0.41	6.57	0.042	0.692	model1_7k66A.pdb.gz
5	2vdaA	0.41	6.27	0.073	0.637	model1_2vdaA.pdb.gz
6	5v9xA	0.40	6.60	0.036	0.689	model1_5v9xA.pdb.gz
7	3dl8A	0.40	7.02	0.060	0.725	model1_3dl8A.pdb.gz
8	3dinA	0.40	6.69	0.081	0.689	model1_3dinA.pdb.gz
9	3l4uA	0.40	6.65	0.045	0.695	model1_3l4uA.pdb.gz
10	4f91B	0.40	6.81	0.049	0.695	model1_4f91B.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:1901363	0.82	heterocyclic compound binding
GO:0097159	0.82	organic cyclic compound binding
GO:0003824	0.72	catalytic activity
GO:0035639	0.56	purine ribonucleoside triphosphate binding
GO:0032555	0.56	purine ribonucleotide binding
GO:0032550	0.56	purine ribonucleoside binding
GO:0003676	0.56	nucleic acid binding
GO:0032559	0.54	adenyl ribonucleotide binding
GO:0016787	0.50	hydrolase 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:0009987	0.87	cellular process
GO:0065007	0.86	biological regulation
GO:0050789	0.84	regulation of biological process
GO:0050794	0.80	regulation of cellular process
GO:0060255	0.73	regulation of macromolecule metabolic process
GO:0010468	0.72	regulation of gene expression
GO:0080090	0.70	regulation of primary metabolic process
GO:0044699	0.70	single-organism process
GO:0031323	0.70	regulation of cellular metabolic process
GO:2001141	0.68	regulation of RNA biosynthetic process
GO:2000112	0.68	regulation of cellular macromolecule biosynthetic process
GO:0006355	0.67	regulation of transcription, DNA-templated
GO:0048518	0.64	positive regulation of biological process
GO:0048522	0.63	positive regulation of cellular process
GO:0010628	0.60	positive regulation of gene expression
GO:0008152	0.60	metabolic process
GO:1902680	0.59	positive regulation of RNA biosynthetic process
GO:0071704	0.59	organic substance metabolic process
GO:0044238	0.59	primary metabolic process
GO:0045893	0.58	positive regulation of transcription, DNA-templated
GO:0044260	0.58	cellular macromolecule metabolic process
GO:0044763	0.57	single-organism cellular process
GO:0006357	0.55	regulation of transcription from RNA polymerase II promoter
GO:0045944	0.51	positive regulation of transcription from RNA polymerase II promoter

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:0044424	1.00	intracellular part
GO:0043226	0.84	organelle
GO:0043229	0.83	intracellular organelle
GO:0032991	0.82	macromolecular complex
GO:0043227	0.80	membrane-bounded organelle
GO:0043231	0.79	intracellular membrane-bounded organelle
GO:0005634	0.78	nucleus
GO:0043234	0.77	protein complex
GO:0044446	0.75	intracellular organelle part
GO:0005737	0.72	cytoplasm
GO:0044428	0.70	nuclear part
GO:0016020	0.68	membrane
GO:0005886	0.66	plasma membrane
GO:0044444	0.61	cytoplasmic part
GO:0044425	0.54	membrane part
GO:0044459	0.53	plasma membrane part
GO:0016021	0.53	integral component of membrane
GO:0005829	0.51	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	0.060	1ofdA	0.394	6.74	0.076	0.674	1.4.7.1	NA
2	0.060	1js4A	0.372	7.08	0.048	0.659	3.2.1.4	NA
3	0.060	3l4uA	0.401	6.65	0.045	0.695	3.2.1.20 3.2.1.3	109,115
4	0.060	1eulA	0.302	6.89	0.056	0.544	3.6.3.8	NA
5	0.060	3ciaA	0.385	6.69	0.035	0.643	3.4.11.-	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	0.01	3ar7A	0.355	6.62	0.023	0.598	0.59	PTY	complex1.pdb.gz	74,101,105
2	0.01	2eauA	0.361	6.85	0.046	0.616	0.63	PTY	complex2.pdb.gz	73,101,105
3	0.01	2voyK	0.095	1.08	0.031	0.097	0.83	III	complex3.pdb.gz	100,104,107,108
4	0.01	3jv2B	0.408	6.06	0.047	0.634	0.72	III	complex4.pdb.gz	74,118,119,120,121,122
5	0.01	1lm1A	0.388	6.66	0.062	0.665	0.57	F3S	complex5.pdb.gz	71,72,73,78,120
6	0.01	2agvA	0.297	6.72	0.019	0.498	0.68	PTY	complex6.pdb.gz	99,103,106,107

	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.