D-I-TASSER O14796

D-I-TASSER results for O14796

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

Summary of the Protein

Uniprot ID: O14796
Protein Name: SH2 domain-containing protein 1B
Gene Name: SH2D1B

Input Sequence in FASTA format

>O14796 (132 residues)
MDLPYYHGRLTKQDCETLLLKEGVDGNFLLRDSESIPGVLCLCVSFKNIVYTYRIFREKH
GYYRIQTAEGSPKQVFPSLKELISKFEKPNQGMVVHLLKPIKRTSPSLRWRGLKLELETF
VNSNSDYVDVLP

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	O14796-D1	1-132	132		MDLPYYHGRLTKQDCETLLLKEGVDGNFLLRDSESIPGVLCLCVSFKNIVYTYRIFREKHGYYRIQTAEGSPKQVFPSLKELISKFEKPNQGMVVHLLKPIKRTSPSLRWRGLKLELETFVNSNSDYVDVLP

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.7487

(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	2ozoA	0.79	2.39	0.205	0.894	model1_2ozoA.pdb.gz
2	1a81A	0.77	1.91	0.244	0.849	model1_1a81A.pdb.gz
3	2shpA	0.76	2.63	0.270	0.901	model1_2shpA.pdb.gz
4	4fl2A	0.75	1.38	0.244	0.811	model1_4fl2A.pdb.gz
5	2b3oA	0.74	2.74	0.244	0.894	model1_2b3oA.pdb.gz
6	1k9aB	0.71	2.53	0.256	0.841	model1_1k9aB.pdb.gz
7	6pbcA	0.70	1.92	0.214	0.780	model1_6pbcA.pdb.gz
8	2ysxA	0.70	1.95	0.345	0.788	model1_2ysxA.pdb.gz
9	2izvA	0.70	3.29	0.190	0.886	model1_2izvA.pdb.gz
10	1i3zA	0.70	1.74	0.716	0.773	model1_1i3zA.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	0.82	catalytic activity
GO:0005102	0.76	receptor binding
GO:0016773	0.73	phosphotransferase activity, alcohol group as acceptor
GO:0016301	0.73	kinase activity
GO:0004672	0.72	protein kinase activity
GO:0004713	0.71	protein tyrosine kinase activity
GO:0004715	0.69	non-membrane spanning protein tyrosine kinase 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:0065007	0.96	biological regulation
GO:0050789	0.95	regulation of biological process
GO:0050794	0.94	regulation of cellular process
GO:0009987	0.88	cellular process
GO:0044699	0.87	single-organism process
GO:0007165	0.85	signal transduction
GO:0044763	0.83	single-organism cellular process
GO:0008152	0.80	metabolic process
GO:0071704	0.79	organic substance metabolic process
GO:0044238	0.78	primary metabolic process
GO:0044237	0.78	cellular metabolic process
GO:0007166	0.78	cell surface receptor signaling pathway
GO:0050896	0.75	response to stimulus
GO:0043170	0.75	macromolecule metabolic process
GO:0007167	0.75	enzyme linked receptor protein signaling pathway
GO:0006796	0.75	phosphate-containing compound metabolic process
GO:0002376	0.75	immune system process
GO:0044260	0.74	cellular macromolecule metabolic process
GO:0019538	0.74	protein metabolic process
GO:0007169	0.74	transmembrane receptor protein tyrosine kinase signaling pathway
GO:0006464	0.73	cellular protein modification process
GO:0048869	0.70	cellular developmental process
GO:0042127	0.70	regulation of cell proliferation
GO:0006950	0.70	response to stress
GO:0006468	0.70	protein phosphorylation
GO:0018108	0.69	peptidyl-tyrosine phosphorylation
GO:0006955	0.68	immune response
GO:0046777	0.67	protein autophosphorylation
GO:0045087	0.67	innate immune response
GO:0038083	0.66	peptidyl-tyrosine autophosphorylation
GO:0030154	0.63	cell 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:0044464	1.00	cell part
GO:0044424	0.98	intracellular part
GO:0044425	0.75	membrane part
GO:0044459	0.73	plasma membrane part
GO:0031234	0.69	extrinsic component of cytoplasmic side of plasma membrane
GO:0044444	0.53	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	0.338	1csyA	0.632	2.26	0.238	0.750	2.7.10.2	7,16,50,54,65,79,100
2	0.313	2hdxF	0.667	1.67	0.247	0.735	2.7.10.2	7,10,18,28,33,54
3	0.274	2pldA	0.579	2.19	0.253	0.705	3.1.4.11	7,19,28,54,79,83,97,100
4	0.060	1h9oA	0.627	2.02	0.263	0.712	2.7.10.1	79,81
5	0.060	2yu7A	0.659	1.96	0.294	0.750	3.1.3.48	7,79,86,100

	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	0.73	1i3zA	0.696	1.74	0.716	0.773	1.63	III	complex1.pdb.gz	12,16,31,33,34,35,41,49,50,51,52,53,54,65,66,90,92,93
2	0.39	1a08B	0.679	1.44	0.320	0.735	1.31	III	complex2.pdb.gz	12,31,33,34,35,41,52,53,54,92
3	0.26	1ka7A	0.692	1.96	0.429	0.788	1.35	III	complex3.pdb.gz	12,16,20,48,49,50,51,52,53,54,65,66,67,92,93
4	0.24	1ka6A	0.718	1.88	0.443	0.795	1.37	III	complex4.pdb.gz	12,13,16,17,20,31,33,35,36,41,49,50,51,52,53,54
5	0.23	1o4oA	0.681	1.47	0.327	0.742	0.91	HPS	complex5.pdb.gz	51,92,93,94
6	0.17	1hcsB	0.669	1.47	0.320	0.735	0.98	III	complex6.pdb.gz	31,41,50,65,86,91,93
7	0.10	1aotF	0.609	2.16	0.263	0.720	1.00	III	complex7.pdb.gz	31,36,52,53,54,73,92,93
8	0.08	1o4jA	0.683	1.46	0.327	0.742	0.98	IS2	complex8.pdb.gz	31,33,34,36,41

	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.