D-I-TASSER Q8IXF9

D-I-TASSER results for Q8IXF9

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

Summary of the Protein

Uniprot ID: Q8IXF9
Protein Name: Aquaporin-12A
Gene Name: AQP12A

Input Sequence in FASTA format

>Q8IXF9 (295 residues)
MAGLNVSLSFFFATFALCEAARRASKALLPVGAYEVFAREAMRTLVELGPWAGDFGPDLL
LTLLFLLFLAHGVTLDGASANPTVSLQEFLMAEQSLPGTLLKLAAQGLGMQAACTLMRLC
WAWELSDLHLLQSLMAQSCSSALRTSVPHGALVEAACAFCFHLTLLHLRHSPPAYSGPAV
ALLVTVTAYTAGPFTSAFFNPALAASVTFACSGHTLLEYVQVYWLGPLTGMVLAVLLHQG
RLPHLFQRNLFYGQKNKYRAPRGKPAPASGDTQTPAKGSSVREPGRSGVEGPHSS

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	Q8IXF9-D1	1-295	295		MAGLNVSLSFFFATFALCEAARRASKALLPVGAYEVFAREAMRTLVELGPWAGDFGPDLLLTLLFLLFLAHGVTLDGASANPTVSLQEFLMAEQSLPGTLLKLAAQGLGMQAACTLMRLCWAWELSDLHLLQSLMAQSCSSALRTSVPHGALVEAACAFCFHLTLLHLRHSPPAYSGPAVALLVTVTAYTAGPFTSAFFNPALAASVTFACSGHTLLEYVQVYWLGPLTGMVLAVLLHQGRLPHLFQRNLFYGQKNKYRAPRGKPAPASGDTQTPAKGSSVREPGRSGVEGPHSS

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.768

(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	2b6pA	0.79	1.55	0.174	0.827	model1_2b6pA.pdb.gz
2	3d9sA	0.73	1.67	0.187	0.763	model1_3d9sA.pdb.gz
3	1j4nA	0.71	1.64	0.169	0.746	model1_1j4nA.pdb.gz
4	2o9dB	0.69	1.60	0.202	0.722	model1_2o9dB.pdb.gz
5	4nefA	0.69	1.82	0.165	0.719	model1_4nefA.pdb.gz
6	1z98A	0.69	2.07	0.172	0.722	model1_1z98A.pdb.gz
7	2f2bA	0.68	1.57	0.201	0.709	model1_2f2bA.pdb.gz
8	3c02A	0.68	1.90	0.185	0.725	model1_3c02A.pdb.gz
9	2w2eA	0.67	1.81	0.159	0.702	model1_2w2eA.pdb.gz
10	5i32A	0.66	1.46	0.214	0.688	model1_5i32A.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:0005372	1.00	water transmembrane transporter activity
GO:0015250	0.99	water channel activity
GO:0015254	0.97	glycerol channel activity
GO:0015075	0.60	ion transmembrane transporter activity
GO:0008324	0.54	cation transmembrane transporter activity
GO:0022890	0.53	inorganic cation transmembrane transporter activity
GO:0046873	0.52	metal ion transmembrane transporter activity
GO:0005216	0.52	ion channel activity
GO:0015077	0.51	monovalent inorganic cation transmembrane transporter 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:0044699	0.99	single-organism process
GO:0009987	0.99	cellular process
GO:0006810	0.98	transport
GO:0044763	0.97	single-organism cellular process
GO:0065008	0.95	regulation of biological quality
GO:0016043	0.95	cellular component organization
GO:0055085	0.94	transmembrane transport
GO:0055082	0.94	cellular chemical homeostasis
GO:0030104	0.94	water homeostasis
GO:0006884	0.94	cell volume homeostasis
GO:0009992	0.93	cellular water homeostasis
GO:0006811	0.92	ion transport
GO:0034220	0.90	ion transmembrane transport
GO:0071702	0.62	organic substance transport
GO:0006833	0.61	water transport
GO:0008643	0.58	carbohydrate transport
GO:0015793	0.57	glycerol transport
GO:0019755	0.51	one-carbon compound transport
GO:0008152	0.51	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	1.00	cell part
GO:0044425	0.94	membrane part
GO:0016021	0.93	integral component of membrane
GO:0016020	0.89	membrane
GO:0044459	0.87	plasma membrane part
GO:0005887	0.85	integral component of plasma membrane
GO:0044424	0.82	intracellular part
GO:0044444	0.71	cytoplasmic part
GO:0043226	0.71	organelle
GO:0043227	0.70	membrane-bounded organelle
GO:0043229	0.69	intracellular organelle
GO:0043231	0.68	intracellular membrane-bounded organelle
GO:0044446	0.56	intracellular organelle part
GO:0005773	0.55	vacuole
GO:0098805	0.54	whole membrane
GO:0098588	0.53	bounding membrane of organelle

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	1n63B	0.391	6.47	0.058	0.658	1.2.99.2	NA
2	0.060	3b9jI	0.200	6.17	0.013	0.332	1.17.1.4 1.17.3.2	198
3	0.060	3hhsB	0.402	6.49	0.050	0.695	1.14.18.1	NA
4	0.060	3khdB	0.397	5.71	0.072	0.624	2.7.1.40	155,184,188
5	0.060	3ecqB	0.392	6.65	0.066	0.695	3.2.1.97	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	0.06	2b6oA	0.715	1.57	0.195	0.746	0.80	MC3	complex1.pdb.gz	152,156,159,229,230,232
2	0.05	1fx8A	0.687	1.80	0.181	0.729	0.71	GOL	complex2.pdb.gz	161,226,227,230
3	0.04	2b6oA	0.715	1.57	0.195	0.746	0.90	MC3	complex3.pdb.gz	96,97,100,103,104,107
4	0.04	1fx8A	0.687	1.80	0.181	0.729	1.00	GOL	complex4.pdb.gz	79,80,81,184,200
5	0.02	3kcuA	0.540	3.62	0.111	0.675	0.81	MA5	complex5.pdb.gz	221,222,224,225,228
6	0.01	3qv6A	0.387	5.59	0.091	0.600	0.71	PO4	complex6.pdb.gz	141,142,145,149,150,195

	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.