D-I-TASSER A0AVK6

D-I-TASSER results for A0AVK6

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

Summary of the Protein

Uniprot ID: A0AVK6
Protein Name: Transcription factor E2F8
Gene Name: E2F8

Input Sequence in FASTA format

>A0AVK6 (867 residues)
MENEKENLFCEPHKRGLMKTPLKESTTANIVLAEIQPDFGPLTTPTKPKEGSQGEPWTPT
ANLKMLISAVSPEIRNRDQKRGLFDNRSGLPEAKDCIHEHLSGDEFEKSQPSRKEKSLGL
LCHKFLARYPNYPNPAVNNDICLDEVAEELNVERRRIYDIVNVLESLHMVSRLAKNRYTW
HGRHNLNKTLGTLKSIGEENKYAEQIMMIKKKEYEQEFDFIKSYSIEDHIIKSNTGPNGH
PDMCFVELPGVEFRAASVNSRKDKSLRVMSQKFVMLFLVSTPQIVSLEVAAKILIGEDHV
EDLDKSKFKTKIRRLYDIANVLSSLDLIKKVHVTEERGRKPAFKWTGPEISPNTSGSSPV
IHFTPSDLEVRRSSKENCAKNLFSTRGKPNFTRHPSLIKLVKSIESDRRKINSAPSSPIK
TNKAESSQNSAPFPSKMAQLAAICKMQLEEQSSESRQKVKVQLARSGPCKPVAPLDPPVN
AEMELTAPSLIQPLGMVPLIPSPLSSAVPLILPQAPSGPSYAIYLQPTQAHQSVTPPQGL
SPTVCTTHSSKATGSKDSTDATTEKAANDTSKASASTRPGSLLPAPERQGAKSRTREPAG
ERGSKRASMLEDSGSKKKFKEDLKGLENVSATLFPSGYLIPLTQCSSLGAESILSGKENS
SALSPNHRIYSSPIAGVIPVTSSELTAVNFPSFHVTPLKLMVSPTSVAAVPVGNSPALAS
SHPVPIQNPSSAIVNFTLQHLGLISPNVQLSASPGSGIVPVSPRIESVNVAPENAGTQQG
RATNYDSPVPGQSQPNGQSVAVTGAQQPVPVTPKGSQLVAESFFRTPGGPTKPTSSSCMD
FEGANKTSLGTLFVPQRKLEVSTEDVH

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	A0AVK6-D1	1-867	867		MENEKENLFCEPHKRGLMKTPLKESTTANIVLAEIQPDFGPLTTPTKPKEGSQGEPWTPTANLKMLISAVSPEIRNRDQKRGLFDNRSGLPEAKDCIHEHLSGDEFEKSQPSRKEKSLGLLCHKFLARYPNYPNPAVNNDICLDEVAEELNVERRRIYDIVNVLESLHMVSRLAKNRYTWHGRHNLNKTLGTLKSIGEENKYAEQIMMIKKKEYEQEFDFIKSYSIEDHIIKSNTGPNGHPDMCFVELPGVEFRAASVNSRKDKSLRVMSQKFVMLFLVSTPQIVSLEVAAKILIGEDHVEDLDKSKFKTKIRRLYDIANVLSSLDLIKKVHVTEERGRKPAFKWTGPEISPNTSGSSPVIHFTPSDLEVRRSSKENCAKNLFSTRGKPNFTRHPSLIKLVKSIESDRRKINSAPSSPIKTNKAESSQNSAPFPSKMAQLAAICKMQLEEQSSESRQKVKVQLARSGPCKPVAPLDPPVNAEMELTAPSLIQPLGMVPLIPSPLSSAVPLILPQAPSGPSYAIYLQPTQAHQSVTPPQGLSPTVCTTHSSKATGSKDSTDATTEKAANDTSKASASTRPGSLLPAPERQGAKSRTREPAGERGSKRASMLEDSGSKKKFKEDLKGLENVSATLFPSGYLIPLTQCSSLGAESILSGKENSSALSPNHRIYSSPIAGVIPVTSSELTAVNFPSFHVTPLKLMVSPTSVAAVPVGNSPALASSHPVPIQNPSSAIVNFTLQHLGLISPNVQLSASPGSGIVPVSPRIESVNVAPENAGTQQGRATNYDSPVPGQSQPNGQSVAVTGAQQPVPVTPKGSQLVAESFFRTPGGPTKPTSSSCMDFEGANKTSLGTLFVPQRKLEVSTEDVH

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.5853

(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	5yz0A	0.31	8.80	0.042	0.501	model1_5yz0A.pdb.gz
2	6mu1A	0.31	9.16	0.023	0.507	model1_6mu1A.pdb.gz
3	3javA	0.30	8.50	0.036	0.475	model1_3javA.pdb.gz
4	6edoA	0.30	8.41	0.030	0.465	model1_6edoA.pdb.gz
5	1vw1A	0.30	8.91	0.038	0.481	model1_1vw1A.pdb.gz
6	6z2wE	0.29	8.93	0.038	0.479	model1_6z2wE.pdb.gz
7	6emkA	0.29	8.40	0.034	0.445	model1_6emkA.pdb.gz
8	7dxjA	0.28	9.14	0.042	0.466	model1_7dxjA.pdb.gz
9	2vz8B	0.28	8.86	0.033	0.458	model1_2vz8B.pdb.gz
10	5x6oC	0.28	8.73	0.041	0.449	model1_5x6oC.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:0003700	0.99	transcription factor activity, sequence-specific DNA binding
GO:0003714	0.86	transcription corepressor activity
GO:1901363	0.78	heterocyclic compound binding
GO:0097159	0.78	organic cyclic compound binding
GO:0003676	0.73	nucleic acid binding
GO:0003677	0.70	DNA binding
GO:0044212	0.57	transcription regulatory region DNA binding
GO:0001047	0.55	core promoter 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:0050794	0.99	regulation of cellular process
GO:0009987	0.98	cellular process
GO:0080090	0.97	regulation of primary metabolic process
GO:0060255	0.97	regulation of macromolecule metabolic process
GO:0031323	0.97	regulation of cellular metabolic process
GO:0006355	0.96	regulation of transcription, DNA-templated
GO:0048522	0.95	positive regulation of cellular process
GO:0044699	0.95	single-organism process
GO:0051726	0.94	regulation of cell cycle
GO:0031325	0.94	positive regulation of cellular metabolic process
GO:0010604	0.94	positive regulation of macromolecule metabolic process
GO:0048523	0.93	negative regulation of cellular process
GO:0045935	0.93	positive regulation of nucleobase-containing compound metabolic process
GO:0044763	0.93	single-organism cellular process
GO:0031328	0.93	positive regulation of cellular biosynthetic process
GO:0010557	0.93	positive regulation of macromolecule biosynthetic process
GO:0044767	0.92	single-organism developmental process
GO:0010605	0.91	negative regulation of macromolecule metabolic process
GO:0006357	0.91	regulation of transcription from RNA polymerase II promoter
GO:2000113	0.90	negative regulation of cellular macromolecule biosynthetic process
GO:0048869	0.90	cellular developmental process
GO:0045934	0.90	negative regulation of nucleobase-containing compound metabolic process
GO:0010629	0.90	negative regulation of gene expression
GO:0010564	0.90	regulation of cell cycle process
GO:0048646	0.89	anatomical structure formation involved in morphogenesis
GO:0045787	0.89	positive regulation of cell cycle
GO:0030855	0.89	epithelial cell differentiation
GO:0010948	0.89	negative regulation of cell cycle process
GO:0000122	0.89	negative regulation of transcription from RNA polymerase II promoter
GO:0090068	0.88	positive regulation of cell cycle process
GO:0051302	0.88	regulation of cell division
GO:0032875	0.88	regulation of DNA endoreduplication
GO:0070365	0.87	hepatocyte differentiation
GO:0060718	0.87	chorionic trophoblast cell differentiation
GO:0032877	0.87	positive regulation of DNA endoreduplication
GO:0032466	0.87	negative regulation of cytokinesis
GO:0002040	0.87	sprouting angiogenesis
GO:0048856	0.69	anatomical structure development
GO:0044702	0.69	single organism reproductive process
GO:0060707	0.67	trophoblast giant cell differentiation
GO:0001890	0.67	placenta development
GO:0007049	0.63	cell cycle
GO:0033301	0.62	cell cycle comprising mitosis without cytokinesis
GO:0045893	0.52	positive regulation of transcription, DNA-templated

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:0043226	0.87	organelle
GO:0043229	0.86	intracellular organelle
GO:0043227	0.85	membrane-bounded organelle
GO:0043231	0.84	intracellular membrane-bounded organelle
GO:0005634	0.77	nucleus
GO:0044422	0.64	organelle part
GO:0044446	0.63	intracellular organelle part

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	1gthA	0.221	8.13	0.044	0.333	1.3.1.2	364
2	0.060	2vz8A	0.278	9.03	0.025	0.451	2.3.1.85	NA
3	0.060	2pffB	0.176	9.07	0.025	0.287	2.3.1.86	NA
4	0.060	2hnhA	0.198	8.96	0.034	0.318	2.7.7.7	NA
5	0.060	1gaxA	0.182	8.31	0.017	0.272	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.