D-I-TASSER Q9ULZ3

D-I-TASSER results for Q9ULZ3

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

Summary of the Protein

Uniprot ID: Q9ULZ3
Protein Name: Apoptosis-associated speck-like protein containing a CARD
Gene Name: PYCARD

Input Sequence in FASTA format

>Q9ULZ3 (195 residues)
MGRARDAILDALENLTAEELKKFKLKLLSVPLREGYGRIPRGALLSMDALDLTDKLVSFY
LETYGAELTANVLRDMGLQEMAGQLQAATHQGSGAAPAGIQAPPQSAAKPGLHFIDQHRA
ALIARVTNVEWLLDALYGKVLTDEQYQAVRAEPTNPSKMRKLFSFTPAWNWTCKDLLLQA
LRESQSYLVEDLERS

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	Q9ULZ3-D1	1-195	195		MGRARDAILDALENLTAEELKKFKLKLLSVPLREGYGRIPRGALLSMDALDLTDKLVSFYLETYGAELTANVLRDMGLQEMAGQLQAATHQGSGAAPAGIQAPPQSAAKPGLHFIDQHRAALIARVTNVEWLLDALYGKVLTDEQYQAVRAEPTNPSKMRKLFSFTPAWNWTCKDLLLQALRESQSYLVEDLERS

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.8269

(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	2kn6A	0.95	1.26	1.000	1.000	model1_2kn6A.pdb.gz
2	2i6qA	0.50	5.11	0.061	0.826	model1_2i6qA.pdb.gz
3	5dkxA	0.48	5.37	0.060	0.831	model1_5dkxA.pdb.gz
4	6co7A	0.48	5.33	0.082	0.795	model1_6co7A.pdb.gz
5	2zw6A	0.48	5.32	0.122	0.810	model1_2zw6A.pdb.gz
6	3w37A	0.44	5.50	0.071	0.759	model1_3w37A.pdb.gz
7	2hm2Q	0.44	1.21	0.640	0.456	model1_2hm2Q.pdb.gz
8	2mpcA	0.41	2.07	0.311	0.462	model1_2mpcA.pdb.gz
9	2x2hA1	0.40	6.00	0.025	0.749	model1_2x2hA1.pdb.gz
10	2xvgA2	0.36	5.90	0.033	0.677	model1_2xvgA2.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	0.77	catalytic activity
GO:0016787	0.76	hydrolase activity
GO:0070011	0.75	peptidase activity, acting on L-amino acid peptides
GO:0004197	0.74	cysteine-type endopeptidase activity
GO:0097153	0.73	cysteine-type endopeptidase activity involved in apoptotic 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 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:0065007	0.97	biological regulation
GO:0050789	0.97	regulation of biological process
GO:0050794	0.92	regulation of cellular process
GO:0048518	0.84	positive regulation of biological process
GO:0080090	0.83	regulation of primary metabolic process
GO:0060255	0.83	regulation of macromolecule metabolic process
GO:0031323	0.83	regulation of cellular metabolic process
GO:0048522	0.82	positive regulation of cellular process
GO:0051246	0.80	regulation of protein metabolic process
GO:0065009	0.79	regulation of molecular function
GO:0032268	0.79	regulation of cellular protein metabolic process
GO:0050790	0.76	regulation of catalytic activity
GO:0031325	0.75	positive regulation of cellular metabolic process
GO:0010604	0.75	positive regulation of macromolecule metabolic process
GO:0032270	0.74	positive regulation of cellular protein metabolic process
GO:2001056	0.73	positive regulation of cysteine-type endopeptidase activity
GO:0009987	0.72	cellular process
GO:0042981	0.70	regulation of apoptotic process
GO:0043280	0.69	positive regulation of cysteine-type endopeptidase activity involved in apoptotic process
GO:0044699	0.65	single-organism process
GO:0051239	0.61	regulation of multicellular organismal process
GO:0044763	0.61	single-organism cellular process
GO:0001817	0.58	regulation of cytokine production
GO:0050896	0.54	response to stimulus
GO:0032879	0.54	regulation of localization
GO:0051049	0.53	regulation of transport
GO:0051046	0.52	regulation of secretion
GO:0048583	0.52	regulation of response to stimulus
GO:0032651	0.52	regulation of interleukin-1 beta production
GO:0001819	0.52	positive regulation of cytokine production
GO:1903532	0.50	positive regulation of secretion by cell
GO:0051222	0.50	positive regulation of protein transport

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:0005737	0.79	cytoplasm
GO:0032991	0.59	macromolecular complex
GO:0043234	0.58	protein complex
GO:0044444	0.57	cytoplasmic 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	1fp4B	0.430	5.38	0.055	0.749	1.18.6.1	NA
2	0.060	1ygyA	0.429	5.58	0.049	0.744	1.1.1.95	NA
3	0.060	1slyA	0.454	5.05	0.065	0.744	4.2.2.-	70,74
4	0.060	1rtkA	0.468	5.61	0.074	0.821	3.4.21.47	17
5	0.060	1yfmA	0.431	5.28	0.051	0.713	4.2.1.2	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:

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	2i6sA	0.481	5.25	0.073	0.800	0.42	UUU	complex1.pdb.gz	70,71,73,77,78,84
	2	0.01	1o1jA	0.444	5.47	0.086	0.764	0.46	HEM	complex2.pdb.gz	66,70,73,85

	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.