D-I-TASSER H3BQW9

D-I-TASSER results for H3BQW9

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Summary of the Protein

Uniprot ID: H3BQW9
Protein Name: Protein FAM229A
Gene Name: FAM229A

Input Sequence in FASTA format

>H3BQW9 (127 residues)
MLPSSTPGPGHATETCPAPPGPERSPAARAPAAASSLGPVSTAGRAPRGLDMSAQEPPQG
RRFPIEAGDSRGLAAAPESQDSPEAVATEHNPVRPLRRCPGCHCLTLLHVPIDVYLAMGG
SPRARAT

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	H3BQW9-D1	1-127	127		MLPSSTPGPGHATETCPAPPGPERSPAARAPAAASSLGPVSTAGRAPRGLDMSAQEPPQGRRFPIEAGDSRGLAAAPESQDSPEAVATEHNPVRPLRRCPGCHCLTLLHVPIDVYLAMGGSPRARAT

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.519

(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	7jtkG	0.44	4.66	0.057	0.787	model1_7jtkG.pdb.gz
2	6grwA	0.44	4.30	0.080	0.724	model1_6grwA.pdb.gz
3	4xvhA	0.44	4.70	0.044	0.779	model1_4xvhA.pdb.gz
4	6ehnA	0.44	4.50	0.056	0.724	model1_6ehnA.pdb.gz
5	3holA1	0.43	5.11	0.059	0.811	model1_3holA1.pdb.gz
6	4txgA1	0.43	4.74	0.080	0.764	model1_4txgA1.pdb.gz
7	3v8uA1	0.43	4.72	0.075	0.740	model1_3v8uA1.pdb.gz
8	2wabA	0.43	4.92	0.050	0.787	model1_2wabA.pdb.gz
9	3u37A	0.42	4.75	0.042	0.756	model1_3u37A.pdb.gz
10	4u9cA	0.42	5.02	0.035	0.779	model1_4u9cA.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	0.40	catalytic activity

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	0.61	cellular process
GO:0044699	0.55	single-organism 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:0044464	0.81	cell part
GO:0016020	0.65	membrane
GO:0044425	0.62	membrane part
GO:0031224	0.54	intrinsic component of membrane
GO:0016021	0.53	integral component of membrane

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	3ifsE	0.394	5.30	0.055	0.779	5.3.1.9	NA
2	0.060	1pytA	0.241	4.11	0.075	0.409	3.4.17.1	NA
3	0.060	1wleB	0.402	4.77	0.050	0.693	6.1.1.11	NA
4	0.060	1ps0A	0.401	4.91	0.052	0.732	1.1.1.2	NA
5	0.060	1l1lA	0.412	4.49	0.044	0.685	1.17.4.2	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:

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	2yu91	0.160	4.44	0.024	0.276	0.44	III	complex1.pdb.gz	60,61,62,63,64,65,66
2	0.01	1hnz4	0.153	4.28	0.043	0.252	0.48	III	complex2.pdb.gz	49,50,66,68,69,70,71,93,94
3	0.01	1hnz8	0.153	4.28	0.043	0.252	0.51	III	complex3.pdb.gz	62,69,91,94,95,96
4	0.01	2vjt3	0.293	5.42	0.126	0.591	0.40	III	complex4.pdb.gz	33,47,59

	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.