D-I-TASSER A6NCQ9

D-I-TASSER results for A6NCQ9

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

Summary of the Protein

Uniprot ID: A6NCQ9
Protein Name: RING finger protein 222
Gene Name: RNF222

Input Sequence in FASTA format

>A6NCQ9 (220 residues)
MSEGESKDSSGSECPVCYEKFRDLEGASRTLSCGHVFCHDCLVKYLLSTRVDGQVQRTLV
CPICRYVTFLSKKSSRWPSMLDKSSQTLAVPVGLPSVPPLDSLGHTNPLAASSPAWRPPP
GQARPPGSPGQSAQLPLDLLPSLPRESQIFVISRHGMPLGEQDSVLPRRSLAELSEASLA
PRSARAFCCRSRALLLITLIAVVAVVAAILPWVLLVRKQA

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	A6NCQ9-D1	1-220	220		MSEGESKDSSGSECPVCYEKFRDLEGASRTLSCGHVFCHDCLVKYLLSTRVDGQVQRTLVCPICRYVTFLSKKSSRWPSMLDKSSQTLAVPVGLPSVPPLDSLGHTNPLAASSPAWRPPPGQARPPGSPGQSAQLPLDLLPSLPRESQIFVISRHGMPLGEQDSVLPRRSLAELSEASLAPRSARAFCCRSRALLLITLIAVVAVVAAILPWVLLVRKQA

Top 1 final models from D-I-TASSER

SpinHigh qualityWhite background

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.4441

(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

SpinHigh qualityWhite background

Top 10 structural analogs in PDB (as identified by TM-align)

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	Download Alignment
1	3mktA	0.43	5.57	0.057	0.718	model1_3mktA.pdb.gz
2	4z3nA	0.43	5.68	0.063	0.718	model1_4z3nA.pdb.gz
3	3vvnA	0.43	5.80	0.057	0.714	model1_3vvnA.pdb.gz
4	5x0mA	0.43	5.37	0.046	0.677	model1_5x0mA.pdb.gz
5	5y50A	0.43	5.43	0.039	0.677	model1_5y50A.pdb.gz
6	3lwtX	0.43	5.94	0.056	0.750	model1_3lwtX.pdb.gz
7	4bx8A	0.42	5.77	0.078	0.732	model1_4bx8A.pdb.gz
8	3kdpA	0.42	5.40	0.042	0.673	model1_3kdpA.pdb.gz
9	5es2A	0.42	5.31	0.051	0.677	model1_5es2A.pdb.gz
10	4hukA	0.39	5.91	0.062	0.677	model1_4hukA.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	0.94	catalytic activity
GO:0004842	0.93	ubiquitin-protein transferase activity
GO:0061630	0.86	ubiquitin protein ligase activity
GO:0032182	0.59	ubiquitin-like protein binding
GO:0032184	0.58	SUMO polymer binding
GO:0008134	0.55	transcription factor 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	0.98	cellular process
GO:0071704	0.94	organic substance metabolic process
GO:0044238	0.94	primary metabolic process
GO:0044260	0.93	cellular macromolecule metabolic process
GO:0019538	0.92	protein metabolic process
GO:0044267	0.86	cellular protein metabolic process
GO:0006464	0.85	cellular protein modification process
GO:0016567	0.84	protein ubiquitination
GO:0043161	0.83	proteasome-mediated ubiquitin-dependent protein catabolic process
GO:0065007	0.80	biological regulation
GO:0050789	0.77	regulation of biological process
GO:0050794	0.76	regulation of cellular process
GO:0048519	0.68	negative regulation of biological process
GO:0048523	0.67	negative regulation of cellular process
GO:0019222	0.65	regulation of metabolic process
GO:0031323	0.64	regulation of cellular metabolic process
GO:0080090	0.63	regulation of primary metabolic process
GO:0051246	0.62	regulation of protein metabolic process
GO:0031324	0.62	negative regulation of cellular metabolic process
GO:0048518	0.61	positive regulation of biological process
GO:0032268	0.61	regulation of cellular protein metabolic process
GO:0048522	0.60	positive regulation of cellular process
GO:1903320	0.59	regulation of protein modification by small protein conjugation or removal
GO:0010605	0.59	negative regulation of macromolecule metabolic process
GO:0033234	0.58	negative regulation of protein sumoylation
GO:0031325	0.58	positive regulation of cellular metabolic process
GO:0010604	0.58	positive regulation of macromolecule metabolic process
GO:0031326	0.56	regulation of cellular biosynthetic process
GO:0006355	0.55	regulation of transcription, DNA-templated
GO:0045944	0.54	positive regulation of transcription from RNA polymerase II promoter

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	0.98	intracellular part
GO:0044446	0.88	intracellular organelle part
GO:0032991	0.81	macromolecular complex
GO:0043234	0.80	protein complex
GO:0044428	0.76	nuclear part
GO:1990234	0.75	transferase complex
GO:0000151	0.74	ubiquitin ligase complex
GO:0000152	0.73	nuclear ubiquitin ligase complex
GO:0033768	0.71	SUMO-targeted ubiquitin ligase complex

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

SpinHigh qualityWhite background

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	1vlbA	0.403	6.01	0.048	0.727	1.2.99.7	NA
2	0.060	1g72A	0.392	6.01	0.074	0.700	1.1.99.8	NA
3	0.060	1qdbA	0.391	5.49	0.036	0.654	1.7.2.2	NA
4	0.060	3eqvA	0.379	6.10	0.051	0.700	3.4.16.4	34
5	0.060	1rp5A	0.372	6.20	0.038	0.709	3.4.-.-	12

	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

SpinHigh qualityWhite background

Template proteins with similar binding site:

Click to view	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	1dgjA	0.407	5.99	0.057	0.723	0.47	FES	complex1.pdb.gz	16,17,19,29,30,31

	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.