D-I-TASSER Q5VTR2

D-I-TASSER results for Q5VTR2

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

Summary of the Protein

Uniprot ID: Q5VTR2
Protein Name: E3 ubiquitin-protein ligase BRE1A
Gene Name: RNF20

Input Sequence in FASTA format

>Q5VTR2 (975 residues)
MSGIGNKRAAGEPGTSMPPEKKAAVEDSGTTVETIKLGGVSSTEELDIRTLQTKNRKLAE
MLDQRQAIEDELREHIEKLERRQATDDASLLIVNRYWSQFDENIRIILKRYDLEQGLGDL
LTERKALVVPEPEPDSDSNQERKDDRERGEGQEPAFSFLATLASSSSEEMESQLQERVES
SRRAVSQIVTVYDKLQEKVELLSRKLNSGDNLIVEEAVQELNSFLAQENMRLQELTDLLQ
EKHRTMSQEFSKLQSKVETAESRVSVLESMIDDLQWDIDKIRKREQRLNRHLAEVLERVN
SKGYKVYGAGSSLYGGTITINARKFEEMNAELEENKELAQNRLCELEKLRQDFEEVTTQN
EKLKVELRSAVEQVVKETPEYRCMQSQFSVLYNESLQLKAHLDEARTLLHGTRGTHQHQV
ELIERDEVSLHKKLRTEVIQLEDTLAQVRKEYEMLRIEFEQTLAANEQAGPINREMRHLI
SSLQNHNHQLKGEVLRYKRKLREAQSDLNKTRLRSGSALLQSQSSTEDPKDEPAELKPDS
EDLSSQSSASKASQEDANEIKSKRDEEERERERREKEREREREREKEKEREREKQKLKES
EKERDSAKDKEKGKHDDGRKKEAEIIKQLKIELKKAQESQKEMKLLLDMYRSAPKEQRDK
VQLMAAEKKSKAELEDLRQRLKDLEDKEKKENKKMADEDALRKIRAVEEQIEYLQKKLAM
AKQEEEALLSEMDVTGQAFEDMQEQNIRLMQQLREKDDANFKLMSERIKSNQIHKLLKEE
KEELADQVLTLKTQVDAQLQVVRKLEEKEHLLQSNIGTGEKELGLRTQALEMNKRKAMEA
AQLADDLKAQLELAQKKLHDFQDEIVENSVTKEKDMFNFKRAQEDISRLRRKLETTKKPD
NVPKCDEILMEEIKDYKARLTCPCCNMRKKDAVLTKCFHVFCFECVKTRYDTRQRKCPKC
NAAFGANDFHRIYIG

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	Q5VTR2-D1	1-468,767-975	677		MSGIGNKRAAGEPGTSMPPEKKAAVEDSGTTVETIKLGGVSSTEELDIRTLQTKNRKLAEMLDQRQAIEDELREHIEKLERRQATDDASLLIVNRYWSQFDENIRIILKRYDLEQGLGDLLTERKALVVPEPEPDSDSNQERKDDRERGEGQEPAFSFLATLASSSSEEMESQLQERVESSRRAVSQIVTVYDKLQEKVELLSRKLNSGDNLIVEEAVQELNSFLAQENMRLQELTDLLQEKHRTMSQEFSKLQSKVETAESRVSVLESMIDDLQWDIDKIRKREQRLNRHLAEVLERVNSKGYKVYGAGSSLYGGTITINARKFEEMNAELEENKELAQNRLCELEKLRQDFEEVTTQNEKLKVELRSAVEQVVKETPEYRCMQSQFSVLYNESLQLKAHLDEARTLLHGTRGTHQHQVELIERDEVSLHKKLRTEVIQLEDTLAQVRKEYEMLRIEFEQTLAANEQRIKSNQIHKLLKEEKEELADQVLTLKTQVDAQLQVVRKLEEKEHLLQSNIGTGEKELGLRTQALEMNKRKAMEAAQLADDLKAQLELAQKKLHDFQDEIVENSVTKEKDMFNFKRAQEDISRLRRKLETTKKPDNVPKCDEILMEEIKDYKARLTCPCCNMRKKDAVLTKCFHVFCFECVKTRYDTRQRKCPKCNAAFGANDFHRIYIG
2	Q5VTR2-D2	469-766	298		AGPINREMRHLISSLQNHNHQLKGEVLRYKRKLREAQSDLNKTRLRSGSALLQSQSSTEDPKDEPAELKPDSEDLSSQSSASKASQEDANEIKSKRDEEERERERREKEREREREREKEKEREREKQKLKESEKERDSAKDKEKGKHDDGRKKEAEIIKQLKIELKKAQESQKEMKLLLDMYRSAPKEQRDKVQLMAAEKKSKAELEDLRQRLKDLEDKEKKENKKMADEDALRKIRAVEEQIEYLQKKLAMAKQEEEALLSEMDVTGQAFEDMQEQNIRLMQQLREKDDANFKLMSE

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.37

(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	6rw8A	0.32	7.66	0.033	0.444	model1_6rw8A.pdb.gz
2	6rwbA	0.32	7.17	0.032	0.433	model1_6rwbA.pdb.gz
3	6l7eA	0.32	7.54	0.039	0.439	model1_6l7eA.pdb.gz
4	6rw9A	0.32	7.54	0.039	0.436	model1_6rw9A.pdb.gz
5	6um1A	0.27	8.72	0.028	0.416	model1_6um1A.pdb.gz
6	5xjyA	0.27	8.44	0.028	0.399	model1_5xjyA.pdb.gz
7	7lkpA	0.26	8.71	0.031	0.400	model1_7lkpA.pdb.gz
8	6fb3A	0.26	8.80	0.041	0.398	model1_6fb3A.pdb.gz
9	6xjbA	0.26	7.73	0.036	0.362	model1_6xjbA.pdb.gz
10	6v85A	0.25	9.34	0.036	0.410	model1_6v85A.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	0.98	catalytic activity
GO:0016740	0.97	transferase activity
GO:0004842	0.94	ubiquitin-protein transferase activity
GO:0019899	0.74	enzyme binding
GO:0031625	0.65	ubiquitin protein ligase binding
GO:1901363	0.64	heterocyclic compound binding
GO:0097159	0.64	organic cyclic compound binding
GO:0003676	0.56	nucleic acid 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	0.96	cellular process
GO:0008152	0.93	metabolic process
GO:0071704	0.92	organic substance metabolic process
GO:0044238	0.92	primary metabolic process
GO:0044237	0.92	cellular metabolic process
GO:0044260	0.91	cellular macromolecule metabolic process
GO:0019538	0.88	protein metabolic process
GO:0044267	0.82	cellular protein metabolic process
GO:0043412	0.82	macromolecule modification
GO:0006464	0.81	cellular protein modification process
GO:0070647	0.80	protein modification by small protein conjugation or removal
GO:0016567	0.79	protein ubiquitination
GO:0065007	0.78	biological regulation
GO:0050794	0.77	regulation of cellular process
GO:0016043	0.76	cellular component organization
GO:0006325	0.75	chromatin organization
GO:0016570	0.73	histone modification
GO:0016574	0.71	histone ubiquitination
GO:0080090	0.70	regulation of primary metabolic process
GO:0060255	0.70	regulation of macromolecule metabolic process
GO:0031323	0.70	regulation of cellular metabolic process
GO:0006513	0.70	protein monoubiquitination
GO:0048518	0.66	positive regulation of biological process
GO:0033523	0.65	histone H2B ubiquitination
GO:0031325	0.65	positive regulation of cellular metabolic process
GO:0010604	0.65	positive regulation of macromolecule metabolic process
GO:0010390	0.65	histone monoubiquitination
GO:0019219	0.58	regulation of nucleobase-containing compound metabolic process
GO:0010468	0.57	regulation of gene expression
GO:0006508	0.57	proteolysis
GO:0051603	0.56	proteolysis involved in cellular protein catabolic process
GO:0051252	0.56	regulation of RNA metabolic process
GO:0044265	0.56	cellular macromolecule catabolic process
GO:0006511	0.55	ubiquitin-dependent protein catabolic process
GO:0048523	0.54	negative regulation of cellular process
GO:0032268	0.52	regulation of cellular protein metabolic process
GO:0051247	0.50	positive regulation of protein 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:0044446	0.93	intracellular organelle part
GO:0043226	0.83	organelle
GO:0043229	0.82	intracellular organelle
GO:0032991	0.78	macromolecular complex
GO:0044428	0.74	nuclear part
GO:0043234	0.73	protein complex
GO:0043227	0.73	membrane-bounded organelle
GO:0043231	0.72	intracellular membrane-bounded organelle
GO:0044427	0.70	chromosomal part
GO:0005634	0.69	nucleus
GO:1990234	0.68	transferase complex
GO:0000151	0.65	ubiquitin ligase complex
GO:0033503	0.63	HULC complex
GO:0005654	0.51	nucleoplasm

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	1f1sA	0.224	8.29	0.051	0.335	4.2.2.1	NA
2	0.060	2vkzG	0.248	9.01	0.048	0.392	2.3.1.38 3.1.2.14	NA
3	0.060	3b9jI	0.074	5.52	0.041	0.092	1.17.1.4 1.17.3.2	NA
4	0.060	3b9jJ	0.126	6.84	0.061	0.169	1.17.1.4 1.17.3.2	NA
5	0.060	1gaxA	0.212	8.41	0.059	0.319	6.1.1.9	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:

No Binding sites was predicted

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

	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.