D-I-TASSER Q9Y2T3

D-I-TASSER results for Q9Y2T3

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

Summary of the Protein

Uniprot ID: Q9Y2T3
Protein Name: Guanine deaminase
Gene Name: GDA

Input Sequence in FASTA format

>Q9Y2T3 (454 residues)
MCAAQMPPLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCF
KPCEIRELSHHEFFMPGLVDTHIHASQYSFAGSSIDLPLLEWLTKYTFPAEHRFQNIDFA
EEVYTRVVRRTLKNGTTTACYFATIHTDSSLLLADITDKFGQRAFVGKVCMDLNDTFPEY
KETTEESIKETERFVSEMLQKNYSRVKPIVTPRFSLSCSETLMGELGNIAKTRDLHIQSH
ISENRDEVEAVKNLYPSYKNYTSVYDKNNLLTNKTVMAHGCYLSAEELNVFHERGASIAH
CPNSNLSLSSGFLNVLEVLKHEVKIGLGTDVAGGYSYSMLDAIRRAVMVSNILLINKVNE
KSLTLKEVFRLATLGGSQALGLDGEIGNFEVGKEFDAILINPKASDSPIDLFYGDFFGDI
SEAVIQKFLYLGDDRNIEEVYVGGKQVVPFSSSV

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	Q9Y2T3-D1	1-76,388-454	143		MCAAQMPPLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMPNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFSSSV
2	Q9Y2T3-D2	77-387	311		GLVDTHIHASQYSFAGSSIDLPLLEWLTKYTFPAEHRFQNIDFAEEVYTRVVRRTLKNGTTTACYFATIHTDSSLLLADITDKFGQRAFVGKVCMDLNDTFPEYKETTEESIKETERFVSEMLQKNYSRVKPIVTPRFSLSCSETLMGELGNIAKTRDLHIQSHISENRDEVEAVKNLYPSYKNYTSVYDKNNLLTNKTVMAHGCYLSAEELNVFHERGASIAHCPNSNLSLSSGFLNVLEVLKHEVKIGLGTDVAGGYSYSMLDAIRRAVMVSNILLINKVNEKSLTLKEVFRLATLGGSQALGLDGEIG

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.974

(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	3e0lA	0.97	0.48	0.991	0.974	model1_3e0lA.pdb.gz
2	6oh9A	0.94	1.76	0.397	0.971	model1_6oh9A.pdb.gz
3	2i9uA	0.89	1.43	0.367	0.918	model1_2i9uA.pdb.gz
4	6ohbA	0.88	2.21	0.329	0.938	model1_6ohbA.pdb.gz
5	2oodA	0.88	2.33	0.272	0.938	model1_2oodA.pdb.gz
6	7ww2A	0.85	2.51	0.188	0.916	model1_7ww2A.pdb.gz
7	3ls9A	0.84	2.66	0.191	0.923	model1_3ls9A.pdb.gz
8	4dzhA	0.84	2.63	0.235	0.918	model1_4dzhA.pdb.gz
9	4dykA	0.84	2.46	0.254	0.910	model1_4dykA.pdb.gz
10	4v1xA	0.83	2.67	0.190	0.916	model1_4v1xA.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:0003824	1.00	catalytic activity
GO:0019239	0.99	deaminase activity
GO:0016810	0.95	hydrolase activity, acting on carbon-nitrogen (but not peptide) bonds
GO:0016814	0.93	hydrolase activity, acting on carbon-nitrogen (but not peptide) bonds, in cyclic amidines
GO:0043167	0.75	ion binding
GO:0046872	0.73	metal ion binding
GO:0046914	0.72	transition metal ion binding
GO:0008892	0.72	guanine deaminase activity
GO:0008270	0.71	zinc ion 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:0009987	1.00	cellular process
GO:0071704	0.99	organic substance metabolic process
GO:0044237	0.99	cellular metabolic process
GO:0044699	0.92	single-organism process
GO:0044281	0.87	small molecule metabolic process
GO:0044763	0.86	single-organism cellular process
GO:0044238	0.84	primary metabolic process
GO:0006807	0.84	nitrogen compound metabolic process
GO:0006139	0.82	nucleobase-containing compound metabolic process
GO:1901564	0.81	organonitrogen compound metabolic process
GO:0055086	0.81	nucleobase-containing small molecule metabolic process
GO:0072521	0.79	purine-containing compound metabolic process
GO:0006144	0.78	purine nucleobase metabolic process
GO:0046098	0.77	guanine 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:0044464	0.89	cell part
GO:0044424	0.83	intracellular part
GO:0043227	0.79	membrane-bounded organelle
GO:0044444	0.78	cytoplasmic part
GO:0005829	0.69	cytosol
GO:0070062	0.68	extracellular exosome

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	0.480	2gokA	0.736	3.23	0.150	0.835	3.5.2.7	330
2	0.446	2i9uA	0.892	1.43	0.367	0.918	3.5.4.3	243
3	0.423	2oodA	0.896	2.27	0.276	0.956	3.5.4.3	243
4	0.311	1zzmA	0.453	3.35	0.121	0.526	3.1.21.-	329
5	0.298	2uz9A	0.970	0.80	1.000	0.978	3.5.4.3	88,90,92,95,130,307,335,337,341,345,433

	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	0.77	2uz9A	0.970	0.80	1.000	0.978	1.28	XAN	complex1.pdb.gz	84,87,102,103,213,214,240,243,279,330
2	0.22	3lsbA	0.844	2.66	0.189	0.923	0.46	RYN	complex2.pdb.gz	84,88,240,243,279,304,310
3	0.16	2q09A	0.737	3.12	0.161	0.830	0.49	DI6	complex3.pdb.gz	214,240,243,331,333,334
4	0.08	2i9u0	0.892	1.43	0.367	0.918	1.34	III	complex4.pdb.gz	88,89,91,92,93,95,96,98,126,245,306,307,309,311,312,335,345,348,351,352,422,426,427,430,431,433,434,435

	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.