D-I-TASSER Q9P0N9

D-I-TASSER results for Q9P0N9

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Summary of the Protein

Uniprot ID: Q9P0N9
Protein Name: TBC1 domain family member 7
Gene Name: TBC1D7

Input Sequence in FASTA format

>Q9P0N9 (293 residues)
MTEDSQRNFRSVYYEKVGFRGVEEKKSLEILLKDDRLDTEKLCTFSQRFPLPSMYRALVW
KVLLGILPPHHESHAKVMMYRKEQYLDVLHALKVVRFVSDATPQAEVYLRMYQLESGKLP
RSPSFPLEPDDEVFLAIAKAMEEMVEDSVDCYWITRRFVNQLNTKYRDSLPQLPKAFEQY
LNLEDGRLLTHLRMCSAAPKLPYDLWFKRCFAGCLPESSLQRVWDKVVSGSCKILVFVAV
EILLTFKIKVMALNSAEKITKFLENIPQDSSDAIVSKAIDLWHKHCGTPVHSS

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	Q9P0N9-D1	1-69	69		MTEDSQRNFRSVYYEKVGFRGVEEKKSLEILLKDDRLDTEKLCTFSQRFPLPSMYRALVWKVLLGILPP
2	Q9P0N9-D2	70-161	92		HHESHAKVMMYRKEQYLDVLHALKVVRFVSDATPQAEVYLRMYQLESGKLPRSPSFPLEPDDEVFLAIAKAMEEMVEDSVDCYWITRRFVNQ
3	Q9P0N9-D3	162-293	132		LNTKYRDSLPQLPKAFEQYLNLEDGRLLTHLRMCSAAPKLPYDLWFKRCFAGCLPESSLQRVWDKVVSGSCKILVFVAVEILLTFKIKVMALNSAEKITKFLENIPQDSSDAIVSKAIDLWHKHCGTPVHSS

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.931

(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	3qwlA	0.92	0.73	1.000	0.928	model1_3qwlA.pdb.gz
2	2g77A	0.72	3.46	0.157	0.884	model1_2g77A.pdb.gz
3	2qfzA	0.72	3.30	0.160	0.857	model1_2qfzA.pdb.gz
4	5tubA	0.70	3.73	0.145	0.887	model1_5tubA.pdb.gz
5	4p17A	0.68	3.72	0.142	0.840	model1_4p17A.pdb.gz
6	3qyeA	0.65	4.21	0.143	0.840	model1_3qyeA.pdb.gz
7	2qq8A2	0.48	3.43	0.176	0.573	model1_2qq8A2.pdb.gz
8	3hzjC2	0.36	2.49	0.167	0.403	model1_3hzjC2.pdb.gz
9	3l2nA2	0.28	6.56	0.065	0.505	model1_3l2nA2.pdb.gz
10	2dfkA	0.26	6.44	0.028	0.444	model1_2dfkA.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:0005096	1.00	GTPase activator activity
GO:0019899	0.86	enzyme binding
GO:0017137	0.85	Rab GTPase 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:0043087	1.00	regulation of GTPase activity
GO:0050794	0.94	regulation of cellular process
GO:0043085	0.91	positive regulation of catalytic activity
GO:0090630	0.90	activation of GTPase activity
GO:0048583	0.76	regulation of response to stimulus
GO:0048523	0.74	negative regulation of cellular process
GO:0032006	0.74	regulation of TOR signaling
GO:1902532	0.73	negative regulation of intracellular signal transduction
GO:0032007	0.72	negative regulation of TOR signaling
GO:0010033	0.72	response to organic substance
GO:0070848	0.71	response to growth factor
GO:0048518	0.57	positive regulation of biological process
GO:0048522	0.54	positive regulation of cellular process
GO:0051128	0.53	regulation of cellular component organization
GO:0033043	0.52	regulation of organelle organization
GO:0032268	0.52	regulation of cellular protein metabolic process
GO:0032270	0.51	positive regulation of cellular protein metabolic process
GO:0031401	0.50	positive regulation of protein modification 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:0044464	1.00	cell part
GO:0044424	0.91	intracellular part
GO:0044444	0.83	cytoplasmic part
GO:0043226	0.81	organelle
GO:0043227	0.78	membrane-bounded organelle
GO:0031410	0.72	cytoplasmic vesicle
GO:0044446	0.64	intracellular organelle part
GO:0044430	0.51	cytoskeletal part
GO:0044463	0.50	cell projection part

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	1r1jA	0.399	6.24	0.018	0.672	3.4.24.11	232
2	0.060	1ga1A	0.383	5.90	0.053	0.621	3.4.21.100 3.4.23.37	NA
3	0.060	1yiqA	0.373	6.27	0.068	0.628	1.1.99.-	NA
4	0.060	1yqyA	0.349	6.48	0.048	0.601	3.4.24.83	NA
5	0.060	3bs8A	0.396	6.30	0.067	0.672	5.4.3.8	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	2wxkA	0.330	6.49	0.042	0.570	0.16	RW4	complex1.pdb.gz	67,157,166,232
2	0.01	1ofdA	0.374	6.29	0.050	0.614	0.34	F3S	complex2.pdb.gz	212,220,221,222,227
3	0.01	1pwwB	0.364	6.14	0.052	0.597	0.12	III	complex3.pdb.gz	139,141,145,158,162,227
4	0.01	2wxfA	0.360	6.53	0.055	0.628	0.14	039	complex4.pdb.gz	66,157,224,225
5	0.01	1pwuA	0.385	6.34	0.044	0.662	0.18	GM6	complex5.pdb.gz	18,19,20,21,22,51
6	0.01	1o0sA	0.394	5.80	0.045	0.642	0.15	NAI	complex6.pdb.gz	133,212,227,236
7	0.01	3k28A	0.363	6.16	0.058	0.601	0.16	PLP	complex7.pdb.gz	63,155,157
8	0.01	1pwwA	0.384	6.26	0.073	0.652	0.13	III	complex8.pdb.gz	228,229,230,235,238,279,282
9	0.01	1lm1A	0.398	6.61	0.047	0.710	0.11	FMN	complex9.pdb.gz	60,165,166,234
10	0.01	1ofdB	0.377	6.52	0.043	0.652	0.32	F3S	complex10.pdb.gz	214,215,238,239

	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.