D-I-TASSER Q9NZK5

D-I-TASSER results for Q9NZK5

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

Summary of the Protein

Uniprot ID: Q9NZK5
Protein Name: Adenosine deaminase 2
Gene Name: ADA2

Input Sequence in FASTA format

>Q9NZK5 (511 residues)
MLVDGPSERPALCFLLLAVAMSFFGSALSIDETRAHLLLKEKMMRLGGRLVLNTKEELAN
ERLMTLKIAEMKEAMRTLIFPPSMHFFQAKHLIERSQVFNILRMMPKGAALHLHDIGIVT
MDWLVRNVTYRPHCHICFTPRGIMQFRFAHPTPRPSEKCSKWILLEDYRKRVQNVTEFDD
SLLRNFTLVTQHPEVIYTNQNVVWSKFETIFFTISGLIHYAPVFRDYVFRSMQEFYEDNV
LYMEIRARLLPVYELSGEHHDEEWSVKTYQEVAQKFVETHPEFIGIKIIYSDHRSKDVAV
IAESIRMAMGLRIKFPTVVAGFDLVGHEDTGHSLHDYKEALMIPAKDGVKLPYFFHAGET
DWQGTSIDRNILDALMLNTTRIGHGFALSKHPAVRTYSWKKDIPIEVCPISNQVLKLVSD
LRNHPVATLMATGHPMVISSDDPAMFGAKGLSYDFYEVFMGIGGMKADLRTLKQLAMNSI
KYSTLLESEKNTFMEIWKKRWDKFIADVATK

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	Q9NZK5-D1	1-118,224-511	406		MLVDGPSERPALCFLLLAVAMSFFGSALSIDETRAHLLLKEKMMRLGGRLVLNTKEELANERLMTLKIAEMKEAMRTLIFPPSMHFFQAKHLIERSQVFNILRMMPKGAALHLHDIGIFRDYVFRSMQEFYEDNVLYMEIRARLLPVYELSGEHHDEEWSVKTYQEVAQKFVETHPEFIGIKIIYSDHRSKDVAVIAESIRMAMGLRIKFPTVVAGFDLVGHEDTGHSLHDYKEALMIPAKDGVKLPYFFHAGETDWQGTSIDRNILDALMLNTTRIGHGFALSKHPAVRTYSWKKDIPIEVCPISNQVLKLVSDLRNHPVATLMATGHPMVISSDDPAMFGAKGLSYDFYEVFMGIGGMKADLRTLKQLAMNSIKYSTLLESEKNTFMEIWKKRWDKFIADVATK
2	Q9NZK5-D2	119-223	105		VTMDWLVRNVTYRPHCHICFTPRGIMQFRFAHPTPRPSEKCSKWILLEDYRKRVQNVTEFDDSLLRNFTLVTQHPEVIYTNQNVVWSKFETIFFTISGLIHYAPV

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.959

(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	3lggA	0.94	0.24	1.000	0.943	model1_3lggA.pdb.gz
2	8hu6A	0.63	4.33	0.141	0.750	model1_8hu6A.pdb.gz
3	2amxA	0.62	2.72	0.207	0.683	model1_2amxA.pdb.gz
4	3ewdA	0.62	3.05	0.207	0.691	model1_3ewdA.pdb.gz
5	4gxwA	0.62	3.14	0.168	0.691	model1_4gxwA.pdb.gz
6	2a3lA	0.60	4.48	0.103	0.726	model1_2a3lA.pdb.gz
7	3rysA	0.59	2.99	0.222	0.652	model1_3rysA.pdb.gz
8	3ou8A	0.55	2.68	0.208	0.601	model1_3ou8A.pdb.gz
9	2i9uA2	0.43	3.50	0.137	0.501	model1_2i9uA2.pdb.gz
10	2ypiA	0.30	4.98	0.061	0.389	model1_2ypiA.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:0019239	1.00	deaminase activity
GO:0016814	1.00	hydrolase activity, acting on carbon-nitrogen (but not peptide) bonds, in cyclic amidines
GO:0004000	0.98	adenosine deaminase activity
GO:0005102	0.60	receptor binding
GO:0008083	0.54	growth factor activity
GO:1901363	0.50	heterocyclic compound binding
GO:0097159	0.50	organic cyclic compound 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:0044699	1.00	single-organism process
GO:0009987	1.00	cellular process
GO:0044763	0.99	single-organism cellular process
GO:0006139	0.99	nucleobase-containing compound metabolic process
GO:0072523	0.98	purine-containing compound catabolic process
GO:0055086	0.98	nucleobase-containing small molecule metabolic process
GO:0044712	0.98	single-organism catabolic process
GO:0046130	0.97	purine ribonucleoside catabolic process
GO:0006154	0.96	adenosine catabolic process
GO:0034654	0.89	nucleobase-containing compound biosynthetic process
GO:0072522	0.88	purine-containing compound biosynthetic process
GO:0044711	0.87	single-organism biosynthetic process
GO:0043101	0.87	purine-containing compound salvage
GO:0006144	0.87	purine nucleobase metabolic process
GO:0046103	0.86	inosine biosynthetic process
GO:0043103	0.86	hypoxanthine salvage

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	0.99	cell part
GO:0044424	0.98	intracellular part
GO:0044444	0.94	cytoplasmic part
GO:0005829	0.92	cytosol
GO:0044421	0.58	extracellular region part
GO:0005615	0.57	extracellular space

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	0.285	3lggA	0.942	0.24	1.000	0.943	3.5.4.4	115,201,205,208,210,212,215,248,250,293,295,326,329,331
2	0.108	3iarA	0.599	2.90	0.183	0.657	3.5.4.4	NA
3	0.073	1nfgA	0.455	4.87	0.105	0.579	3.5.2.2	440,441
4	0.067	2g3fA	0.543	3.94	0.073	0.642	3.5.2.7	NA
5	0.066	2qt3B	0.523	4.06	0.095	0.622	3.5.99.4	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	0.95	3lggA	0.942	0.24	1.000	0.943	1.78	CFE	complex1.pdb.gz	114,115,204,207,208,211,248,293,325,326,356,359,384,441,442
2	0.27	1ndvA	0.598	2.80	0.190	0.656	1.15	FR0	complex2.pdb.gz	114,116,203,204,207,208,211,326,327,359,415,442
3	0.25	1uioA	0.601	2.81	0.188	0.657	0.94	HPR	complex3.pdb.gz	114,116,293,325,326,356,359,441,442
4	0.22	1v79A	0.598	2.80	0.185	0.656	0.83	FR7	complex4.pdb.gz	114,115,208,211,245,249,290,292,294,325,326,327,441

	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.