D-I-TASSER Q01094

D-I-TASSER results for Q01094

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

Summary of the Protein

Uniprot ID: Q01094
Protein Name: Transcription factor E2F1
Gene Name: E2F1

Input Sequence in FASTA format

>Q01094 (437 residues)
MALAGAPAGGPCAPALEALLGAGALRLLDSSQIVIISAAQDASAPPAPTGPAAPAAGPCD
PDLLLFATPQAPRPTPSAPRPALGRPPVKRRLDLETDHQYLAESSGPARGRGRHPGKGVK
SPGEKSRYETSLNLTTKRFLELLSHSADGVVDLNWAAEVLKVQKRRIYDITNVLEGIQLI
AKKSKNHIQWLGSHTTVGVGGRLEGLTQDLRQLQESEQQLDHLMNICTTQLRLLSEDTDS
QRLAYVTCQDLRSIADPAEQMVMVIKAPPETQLQAVDSSENFQISLKSKQGPIDVFLCPE
ETVGGISPGKTPSQEVTSEEENRATDSATIVSPPPSSPPSSLTTDPSQSLLSLEQEPLLS
RMGSLRAPVDEDRLSPLVAADSLLEHVREDFSGLLPEEFISLSPPHEALDYHFGLEEGEG
IRDLFDCDFGDLTPLDF

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	Q01094-D1	1-437	437		MALAGAPAGGPCAPALEALLGAGALRLLDSSQIVIISAAQDASAPPAPTGPAAPAAGPCDPDLLLFATPQAPRPTPSAPRPALGRPPVKRRLDLETDHQYLAESSGPARGRGRHPGKGVKSPGEKSRYETSLNLTTKRFLELLSHSADGVVDLNWAAEVLKVQKRRIYDITNVLEGIQLIAKKSKNHIQWLGSHTTVGVGGRLEGLTQDLRQLQESEQQLDHLMNICTTQLRLLSEDTDSQRLAYVTCQDLRSIADPAEQMVMVIKAPPETQLQAVDSSENFQISLKSKQGPIDVFLCPEETVGGISPGKTPSQEVTSEEENRATDSATIVSPPPSSPPSSLTTDPSQSLLSLEQEPLLSRMGSLRAPVDEDRLSPLVAADSLLEHVREDFSGLLPEEFISLSPPHEALDYHFGLEEGEGIRDLFDCDFGDLTPLDF

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.5925

(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	4bedA	0.35	6.67	0.051	0.542	model1_4bedA.pdb.gz
2	4bujB	0.34	7.33	0.039	0.572	model1_4bujB.pdb.gz
3	3javA	0.32	7.18	0.032	0.540	model1_3javA.pdb.gz
4	6wg3E	0.32	7.67	0.033	0.561	model1_6wg3E.pdb.gz
5	6edoA	0.31	7.64	0.030	0.556	model1_6edoA.pdb.gz
6	7kfuC	0.31	7.47	0.046	0.526	model1_7kfuC.pdb.gz
7	6bq1A2	0.31	6.68	0.050	0.483	model1_6bq1A2.pdb.gz
8	7abiA	0.30	7.15	0.042	0.494	model1_7abiA.pdb.gz
9	2vz8B	0.30	7.63	0.069	0.515	model1_2vz8B.pdb.gz
10	2q7zA	0.30	7.28	0.047	0.503	model1_2q7zA.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:1901363	0.92	heterocyclic compound binding
GO:0097159	0.92	organic cyclic compound binding
GO:0003700	0.90	transcription factor activity, sequence-specific DNA binding
GO:0003676	0.90	nucleic acid binding
GO:0003677	0.89	DNA binding
GO:0044212	0.58	transcription regulatory region DNA 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	0.97	regulation of cellular process
GO:0009987	0.91	cellular process
GO:0060255	0.90	regulation of macromolecule metabolic process
GO:0080090	0.88	regulation of primary metabolic process
GO:0031323	0.88	regulation of cellular metabolic process
GO:0010468	0.88	regulation of gene expression
GO:2000112	0.87	regulation of cellular macromolecule biosynthetic process
GO:0019219	0.87	regulation of nucleobase-containing compound metabolic process
GO:0006355	0.86	regulation of transcription, DNA-templated
GO:0044699	0.75	single-organism process
GO:0048523	0.70	negative regulation of cellular process
GO:0048518	0.64	positive regulation of biological process
GO:0048522	0.63	positive regulation of cellular process
GO:0071704	0.62	organic substance metabolic process
GO:0044237	0.62	cellular metabolic process
GO:0031325	0.62	positive regulation of cellular metabolic process
GO:0010604	0.62	positive regulation of macromolecule metabolic process
GO:0051726	0.61	regulation of cell cycle
GO:0044238	0.61	primary metabolic process
GO:1901360	0.60	organic cyclic compound metabolic process
GO:0045935	0.60	positive regulation of nucleobase-containing compound metabolic process
GO:0044763	0.60	single-organism cellular process
GO:0044260	0.60	cellular macromolecule metabolic process
GO:0034641	0.60	cellular nitrogen compound metabolic process
GO:0031328	0.60	positive regulation of cellular biosynthetic process
GO:0010557	0.60	positive regulation of macromolecule biosynthetic process
GO:0090304	0.59	nucleic acid metabolic process
GO:1901576	0.58	organic substance biosynthetic process
GO:0022402	0.58	cell cycle process
GO:0044249	0.57	cellular biosynthetic process
GO:0042127	0.57	regulation of cell proliferation
GO:0009059	0.57	macromolecule biosynthetic process
GO:0010605	0.55	negative regulation of macromolecule metabolic process
GO:1903047	0.54	mitotic cell cycle process
GO:0045893	0.54	positive regulation of transcription, DNA-templated
GO:0044271	0.53	cellular nitrogen compound biosynthetic process
GO:0031327	0.53	negative regulation of cellular biosynthetic process
GO:0010629	0.53	negative regulation of gene expression
GO:2000113	0.52	negative regulation of cellular macromolecule biosynthetic process
GO:0050896	0.52	response to stimulus
GO:0045934	0.52	negative regulation of nucleobase-containing compound metabolic process
GO:0034654	0.52	nucleobase-containing compound biosynthetic process
GO:0006357	0.52	regulation of transcription from RNA polymerase II promoter
GO:0045892	0.51	negative regulation of transcription, DNA-templated
GO:0016070	0.51	RNA metabolic process
GO:0032774	0.50	RNA biosynthetic 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:0043226	0.83	organelle
GO:0043229	0.82	intracellular organelle
GO:0043227	0.82	membrane-bounded organelle
GO:0044422	0.81	organelle part
GO:0043231	0.81	intracellular membrane-bounded organelle
GO:0044446	0.80	intracellular organelle part
GO:0005634	0.80	nucleus
GO:0044428	0.77	nuclear part
GO:0032991	0.60	macromolecular complex
GO:0005654	0.55	nucleoplasm
GO:0043234	0.52	protein 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

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	1powA	0.262	6.52	0.054	0.407	1.2.3.3	147
2	0.060	2jlaA	0.243	6.40	0.056	0.375	2.2.1.9	146
3	0.060	3ecqB	0.250	6.87	0.041	0.405	3.2.1.97	NA
4	0.060	2pffB	0.153	7.44	0.017	0.261	2.3.1.86	NA
5	0.060	2rhqB	0.266	7.53	0.061	0.460	6.1.1.20	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	0.02	1bg3B	0.277	7.57	0.078	0.483	0.26	G6P	complex1.pdb.gz	141,144,193
2	0.01	3cmvC	0.261	6.90	0.043	0.419	0.33	ANP	complex2.pdb.gz	144,145,146,149
3	0.01	3cmvG	0.188	7.15	0.023	0.311	0.33	ANP	complex3.pdb.gz	144,145,146,149
4	0.01	3cmvA	0.205	7.68	0.026	0.359	0.22	ANP	complex4.pdb.gz	149,150,175
5	0.01	3sucA	0.275	6.47	0.025	0.426	0.34	ATP	complex5.pdb.gz	151,173,174,175,180,192
6	0.01	2nztB	0.275	6.99	0.038	0.446	0.24	GLC	complex6.pdb.gz	143,149,175
7	0.01	2nztA	0.274	7.05	0.037	0.449	0.25	UUU	complex7.pdb.gz	139,141,142,143,150
8	0.01	3gq8A	0.260	6.77	0.041	0.407	0.22	CO3	complex8.pdb.gz	147,148,190,192
9	0.01	3cmvF	0.197	7.49	0.021	0.336	0.17	ANP	complex9.pdb.gz	140,142,143
10	0.01	3cmvE	0.169	7.52	0.045	0.295	0.17	ANP	complex10.pdb.gz	141,142,145,146,176

	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.