D-I-TASSER Q13761

D-I-TASSER results for Q13761

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

Summary of the Protein

Uniprot ID: Q13761
Protein Name: Runt-related transcription factor 3
Gene Name: RUNX3

Input Sequence in FASTA format

>Q13761 (415 residues)
MRIPVDPSTSRRFTPPSPAFPCGGGGGKMGENSGALSAQAAVGPGGRARPEVRSMVDVLA
DHAGELVRTDSPNFLCSVLPSHWRCNKTLPVAFKVVALGDVPDGTVVTVMAGNDENYSAE
LRNASAVMKNQVARFNDLRFVGRSGRGKSFTLTITVFTNPTQVATYHRAIKVTVDGPREP
RRHRQKLEDQTKPFPDRFGDLERLRMRVTPSTPSPRGSLSTTSHFSSQPQTPIQGTSELN
PFSDPRQFDRSFPTLPTLTESRFPDPRMHYPGAMSAAFPYSATPSGTSISSLSVAGMPAT
SRFHHTYLPPPYPGAPQNQSGPFQANPSPYHLYYGTSSGSYQFSMVAGSSSGGDRSPTRM
LASCTSSAASVAAGNLMNPSLGGQSDGVEADGSHSNSPTALSTPGRMDEAVWRPY

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 DeepPotential. 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	Q13761-D1	1-415	415		MRIPVDPSTSRRFTPPSPAFPCGGGGGKMGENSGALSAQAAVGPGGRARPEVRSMVDVLADHAGELVRTDSPNFLCSVLPSHWRCNKTLPVAFKVVALGDVPDGTVVTVMAGNDENYSAELRNASAVMKNQVARFNDLRFVGRSGRGKSFTLTITVFTNPTQVATYHRAIKVTVDGPREPRRHRQKLEDQTKPFPDRFGDLERLRMRVTPSTPSPRGSLSTTSHFSSQPQTPIQGTSELNPFSDPRQFDRSFPTLPTLTESRFPDPRMHYPGAMSAAFPYSATPSGTSISSLSVAGMPATSRFHHTYLPPPYPGAPQNQSGPFQANPSPYHLYYGTSSGSYQFSMVAGSSSGGDRSPTRMLASCTSSAASVAAGNLMNPSLGGQSDGVEADGSHSNSPTALSTPGRMDEAVWRPY

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.4328

(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 DeepPotential, 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	6x6aA	0.47	6.50	0.069	0.733	model1_6x6aA.pdb.gz
2	4wz9A	0.45	6.38	0.046	0.699	model1_4wz9A.pdb.gz
3	6qzwC	0.45	6.46	0.050	0.699	model1_6qzwC.pdb.gz
4	4hvtA	0.44	6.84	0.058	0.725	model1_4hvtA.pdb.gz
5	5dllA	0.44	7.32	0.034	0.759	model1_5dllA.pdb.gz
6	4hxeB	0.44	6.85	0.039	0.721	model1_4hxeB.pdb.gz
7	4ffvA	0.44	6.83	0.034	0.711	model1_4ffvA.pdb.gz
8	5yzmA	0.44	6.89	0.050	0.723	model1_5yzmA.pdb.gz
9	2gtqA	0.44	7.36	0.052	0.752	model1_2gtqA.pdb.gz
10	5oljA	0.44	6.61	0.044	0.692	model1_5oljA.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	0.97	transcription factor activity, sequence-specific DNA binding
GO:0000981	0.74	RNA polymerase II transcription factor activity, sequence-specific 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:0044699	0.97	single-organism process
GO:0032502	0.96	developmental process
GO:0065007	0.95	biological regulation
GO:0050789	0.95	regulation of biological process
GO:0050794	0.94	regulation of cellular process
GO:0009987	0.94	cellular process
GO:0044763	0.92	single-organism cellular process
GO:0048869	0.91	cellular developmental process
GO:0048856	0.91	anatomical structure development
GO:0060255	0.88	regulation of macromolecule metabolic process
GO:0048513	0.88	animal organ development
GO:0030154	0.88	cell differentiation
GO:0010468	0.87	regulation of gene expression
GO:0080090	0.86	regulation of primary metabolic process
GO:0031323	0.86	regulation of cellular metabolic process
GO:0044767	0.84	single-organism developmental process
GO:0006355	0.84	regulation of transcription, DNA-templated
GO:0044707	0.82	single-multicellular organism process
GO:0002062	0.82	chondrocyte differentiation
GO:0048534	0.76	hematopoietic or lymphoid organ development
GO:0045595	0.75	regulation of cell differentiation
GO:0030097	0.75	hemopoiesis
GO:0006357	0.69	regulation of transcription from RNA polymerase II promoter
GO:0001503	0.67	ossification
GO:0030182	0.62	neuron differentiation

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:0043231	0.99	intracellular membrane-bounded organelle
GO:0005634	0.98	nucleus

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	1yiqA	0.396	7.51	0.059	0.704	1.1.99.-	NA
2	0.060	1n1hA	0.377	7.03	0.055	0.626	2.7.7.48	NA
3	0.060	2d1rA	0.389	6.93	0.040	0.634	1.13.12.7	NA
4	0.060	1ry2A	0.389	7.05	0.037	0.641	6.2.1.1	NA
5	0.060	2d5lA	0.411	6.82	0.072	0.675	3.4.14.-	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	0.01	2buaC	0.437	6.83	0.047	0.711	0.32	UUU	complex1.pdb.gz	78,81,117
2	0.01	2bgn2	0.437	6.92	0.052	0.718	0.22	III	complex2.pdb.gz	75,77,78,79,80,81
3	0.01	2h642	0.120	3.95	0.062	0.149	0.23	III	complex3.pdb.gz	78,105,108,109
4	0.01	2bgn0	0.432	7.40	0.049	0.747	0.17	III	complex4.pdb.gz	78,79,136,139,145
5	0.01	1n1mB	0.435	7.12	0.066	0.728	0.30	UUU	complex5.pdb.gz	84,113,146
6	0.01	2oncA	0.435	6.84	0.036	0.711	0.19	SY1	complex6.pdb.gz	65,66,113
7	0.01	2gbiA	0.437	6.85	0.025	0.713	0.12	XIH	complex7.pdb.gz	83,84,147,177
8	0.01	2aj8A	0.436	6.89	0.042	0.716	0.15	SC3	complex8.pdb.gz	144,148,176

	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.