D-I-TASSER Q7Z602

D-I-TASSER results for Q7Z602

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

Summary of the Protein

Uniprot ID: Q7Z602
Protein Name: Probable G-protein coupled receptor 141
Gene Name: GPR141

Input Sequence in FASTA format

>Q7Z602 (305 residues)
MPGHNTSRNSSCDPIVTPHLISLYFIVLIGGLVGVISILFLLVKMNTRSVTTMAVINLVV
VHSVFLLTVPFRLTYLIKKTWMFGLPFCKFVSAMLHIHMYLTFLFYVVILVTRYLIFFKC
KDKVEFYRKLHAVAASAGMWTLVIVIVVPLVVSRYGIHEEYNEEHCFKFHKELAYTYVKI
INYMIVIFVIAVAVILLVFQVFIIMLMVQKLRHSLLSHQEFWAQLKNLFFIGVILVCFLP
YQFFRIYYLNVVTHSNACNSKVAFYNEIFLSVTAISCYDLLLFVFGGSHWFKQKIIGLWN
CVLCR

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

Contact Map

Distance Map

D-I-TASSER simulation is guided by the consensus contact map (left figure) and distance map (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.

Information of Domain

No. of Domain	Domain	Domain Boundary	Length of Domain	Models of Domain	Sequence
1	Q7Z602-D1	1-175	175		MPGHNTSRNSSCDPIVTPHLISLYFIVLIGGLVGVISILFLLVKMNTRSVTTMAVINLVVVHSVFLLTVPFRLTYLIKKTWMFGLPFCKFVSAMLHIHMYLTFLFYVVILVTRYLIFFKCKDKVEFYRKLHAVAASAGMWTLVIVIVVPLVVSRYGIHEEYNEEHCFKFHKELAY
2	Q7Z602-D2	176-305	130		TYVKIINYMIVIFVIAVAVILLVFQVFIIMLMVQKLRHSLLSHQEFWAQLKNLFFIGVILVCFLPYQFFRIYYLNVVTHSNACNSKVAFYNEIFLSVTAISCYDLLLFVFGGSHWFKQKIIGLWNCVLCR

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.85

(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	5nddA	0.81	3.12	0.142	0.941	model1_5nddA.pdb.gz
2	6lw5A	0.80	3.13	0.124	0.941	model1_6lw5A.pdb.gz
3	4zwjA	0.79	3.44	0.110	0.948	model1_4zwjA.pdb.gz
4	7mbxR	0.79	2.94	0.152	0.908	model1_7mbxR.pdb.gz
5	6ommR	0.79	2.77	0.142	0.898	model1_6ommR.pdb.gz
6	4grvA	0.78	3.29	0.143	0.934	model1_4grvA.pdb.gz
7	5wb1A	0.77	3.06	0.158	0.905	model1_5wb1A.pdb.gz
8	3vw7A	0.77	3.18	0.176	0.911	model1_3vw7A.pdb.gz
9	7k15A	0.77	3.24	0.186	0.911	model1_7k15A.pdb.gz
10	6wwzR	0.77	3.38	0.145	0.918	model1_6wwzR.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:0004872	1.00	receptor activity
GO:0004888	0.99	transmembrane signaling receptor activity
GO:0004930	0.96	G-protein coupled receptor activity
GO:0008528	0.66	G-protein coupled peptide receptor 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:0065007	0.97	biological regulation
GO:0050789	0.97	regulation of biological process
GO:0050794	0.96	regulation of cellular process
GO:0007165	0.94	signal transduction
GO:0007186	0.90	G-protein coupled receptor signaling pathway
GO:0009987	0.80	cellular process
GO:0044699	0.75	single-organism process
GO:0044763	0.71	single-organism cellular process
GO:0050896	0.67	response to stimulus
GO:0051716	0.59	cellular response to stimulus
GO:0007218	0.57	neuropeptide signaling pathway
GO:0042221	0.55	response to chemical
GO:0007166	0.55	cell surface receptor signaling pathway
GO:0010033	0.54	response to organic substance
GO:0009605	0.54	response to external stimulus
GO:0070887	0.53	cellular response to chemical stimulus
GO:0065008	0.53	regulation of biological quality
GO:1901700	0.52	response to oxygen-containing compound
GO:0071310	0.52	cellular response to organic substance
GO:0044765	0.51	single-organism transport
GO:0051239	0.50	regulation of multicellular organismal process
GO:0033993	0.50	response to lipid
GO:0032501	0.50	multicellular organismal process
GO:0014070	0.50	response to organic cyclic compound

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:0044464	1.00	cell part
GO:0016021	1.00	integral component of membrane
GO:0016020	1.00	membrane
GO:0044459	0.96	plasma membrane part
GO:0005886	0.96	plasma membrane
GO:0005887	0.95	integral component of plasma membrane
GO:0044424	0.70	intracellular part
GO:0097458	0.65	neuron part
GO:0042995	0.60	cell projection
GO:0043226	0.55	organelle
GO:0044444	0.52	cytoplasmic part
GO:0043005	0.52	neuron projection

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	2frvD	0.490	5.41	0.041	0.725	1.12.2.1	34
2	0.060	2hvgA	0.476	5.50	0.063	0.695	4.3.2.2	NA
3	0.060	2wpnB	0.473	5.33	0.034	0.695	1.12.7.2	NA
4	0.060	1vdkA	0.475	5.55	0.051	0.718	4.2.1.2	NA
5	0.060	2o6yA	0.478	5.81	0.042	0.741	4.3.1.-	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	0.10	3oe6A	0.708	3.47	0.167	0.853	0.76	OLC	complex1.pdb.gz	31,34,35,38
2	0.04	3oe6A	0.708	3.47	0.167	0.853	0.84	OLC	complex2.pdb.gz	25,26,29,30,33
3	0.04	2rh1A	0.715	3.72	0.147	0.882	0.77	CLR	complex3.pdb.gz	29,33,36,37,67
4	0.03	2i37A	0.723	3.78	0.141	0.895	0.64	UUU	complex4.pdb.gz	32,35,36,62
5	0.01	1c6gA	0.228	4.65	0.007	0.315	0.81	KR	complex5.pdb.gz	32,35,36,59
6	0.01	1c61A	0.229	4.65	0.007	0.315	0.70	KR	complex6.pdb.gz	28,29,32,70

	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, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020.