D-I-TASSER A4D1E9

D-I-TASSER results for A4D1E9

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

Summary of the Protein

Uniprot ID: A4D1E9
Protein Name: GTP-binding protein 10
Gene Name: GTPBP10

Input Sequence in FASTA format

>A4D1E9 (387 residues)
MVHCSCVLFRKYGNFIDKLRLFTRGGSGGMGYPRLGGEGGKGGDVWVVAQNRMTLKQLKD
RYPRKRFVAGVGANSKISALKGSKGKDCEIPVPVGISVTDENGKIIGELNKENDRILVAQ
GGLGGKLLTNFLPLKGQKRIIHLDLKLIADVGLVGFPNAGKSSLLSCVSHAKPAIADYAF
TTLKPELGKIMYSDFKQISVADLPGLIEGAHMNKGMGHKFLKHIERTRQLLFVVDISGFQ
LSSHTQYRTAFETIILLTKELELYKEELQTKPALLAVNKMDLPDAQDKFHELMSQLQNPK
DFLHLFEKNMIPERTVEFQHIIPISAVTGEGIEELKNCIRKSLDEQANQENDALHKKQLL
NLWISDTMSSTEPPSKHAVTTSKMDII

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 AttentionPotential. 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	A4D1E9-D1	1-145,352-387	181		MVHCSCVLFRKYGNFIDKLRLFTRGGSGGMGYPRLGGEGGKGGDVWVVAQNRMTLKQLKDRYPRKRFVAGVGANSKISALKGSKGKDCEIPVPVGISVTDENGKIIGELNKENDRILVAQGGLGGKLLTNFLPLKGQKRIIHLDLDALHKKQLLNLWISDTMSSTEPPSKHAVTTSKMDII
2	A4D1E9-D2	146-351	206		KLIADVGLVGFPNAGKSSLLSCVSHAKPAIADYAFTTLKPELGKIMYSDFKQISVADLPGLIEGAHMNKGMGHKFLKHIERTRQLLFVVDISGFQLSSHTQYRTAFETIILLTKELELYKEELQTKPALLAVNKMDLPDAQDKFHELMSQLQNPKDFLHLFEKNMIPERTVEFQHIIPISAVTGEGIEELKNCIRKSLDEQANQEN

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.59

(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 AttentionPotential, 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	7bl49	0.57	4.50	0.283	0.747	model1_7bl49.pdb.gz
2	1udxA	0.51	4.95	0.284	0.669	model1_1udxA.pdb.gz
3	6jfkA	0.46	4.32	0.102	0.579	model1_6jfkA.pdb.gz
4	5gnrA	0.46	4.33	0.103	0.571	model1_5gnrA.pdb.gz
5	5m1jA6	0.45	3.96	0.135	0.537	model1_5m1jA6.pdb.gz
6	5mtvA	0.44	4.68	0.085	0.579	model1_5mtvA.pdb.gz
7	2wkpA	0.44	4.37	0.092	0.540	model1_2wkpA.pdb.gz
8	4zkdA	0.44	3.88	0.121	0.524	model1_4zkdA.pdb.gz
9	1f5nA	0.44	4.67	0.104	0.566	model1_1f5nA.pdb.gz
10	2hjgA	0.43	5.44	0.129	0.589	model1_2hjgA.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	0.84	heterocyclic compound binding
GO:0097159	0.84	organic cyclic compound binding
GO:0000166	0.68	nucleotide binding
GO:0035639	0.67	purine ribonucleoside triphosphate binding
GO:0032555	0.67	purine ribonucleotide binding
GO:0032550	0.67	purine ribonucleoside binding
GO:0003824	0.59	catalytic activity
GO:0005525	0.56	GTP binding
GO:0016787	0.51	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	0.96	cellular process
GO:0071840	0.82	cellular component organization or biogenesis
GO:0016043	0.75	cellular component organization
GO:0008152	0.71	metabolic process
GO:0022607	0.70	cellular component assembly
GO:0065003	0.69	macromolecular complex assembly
GO:0022618	0.68	ribonucleoprotein complex assembly
GO:0044237	0.62	cellular metabolic process
GO:0071704	0.61	organic substance metabolic process
GO:0044238	0.57	primary metabolic process
GO:0006807	0.52	nitrogen compound metabolic process
GO:0043170	0.51	macromolecule metabolic process
GO:0034641	0.51	cellular nitrogen compound metabolic process
GO:0044260	0.50	cellular macromolecule metabolic 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:0044424	1.00	intracellular part
GO:0044444	0.86	cytoplasmic part
GO:0043226	0.61	organelle
GO:0043229	0.59	intracellular organelle
GO:0005737	0.58	cytoplasm

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	1ha3B	0.378	3.84	0.112	0.439	3.1.5.1	NA
2	0.060	1ofdA	0.390	6.76	0.063	0.641	1.4.7.1	NA
3	0.060	1qbaA	0.404	6.04	0.061	0.602	3.2.1.52	81
4	0.060	2vz8B	0.404	6.57	0.060	0.651	2.3.1.85	NA
5	0.060	1llwA	0.388	6.71	0.047	0.630	1.4.7.1	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	0.09	1h65A	0.420	3.51	0.117	0.491	0.22	GDP	complex1.pdb.gz	27,28,29,40,41
2	0.09	2xtzB	0.397	3.31	0.147	0.457	0.20	GSP	complex2.pdb.gz	31,39,40,41,83
3	0.02	1cjvC	0.399	3.69	0.166	0.468	0.14	GSP	complex3.pdb.gz	39,40,85,126,131
4	0.02	1u0hC	0.399	3.67	0.166	0.468	0.13	GSP	complex4.pdb.gz	41,44,81,82,83,135,136
5	0.02	1aztB	0.415	3.57	0.165	0.486	0.14	GSP	complex5.pdb.gz	27,28,29,30,85,132
6	0.02	1azsC	0.412	3.78	0.159	0.486	0.14	GSP	complex6.pdb.gz	40,82,133,134
7	0.01	1ksgA	0.383	2.89	0.184	0.429	0.16	GTP	complex7.pdb.gz	37,38,39,130,131
8	0.01	3o47B	0.398	3.46	0.164	0.465	0.24	GDP	complex8.pdb.gz	39,40,73,74
9	0.01	2bcjQ	0.396	3.65	0.155	0.468	0.17	UUU	complex9.pdb.gz	223,275,276,278
10	0.01	2hjgA	0.437	5.34	0.122	0.600	0.25	GDP	complex10.pdb.gz	40,41,42,126,128

	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.