D-I-TASSER O75610

D-I-TASSER results for O75610

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

Summary of the Protein

Uniprot ID: O75610
Protein Name: Left-right determination factor 1
Gene Name: LEFTY1

Input Sequence in FASTA format

>O75610 (366 residues)
MQPLWLCWALWVLPLASPGAALTGEQLLGSLLRQLQLKEVPTLDRADMEELVIPTHVRAQ
YVALLQRSHGDRSRGKRFSQSFREVAGRFLALEASTHLLVFGMEQRLPPNSELVQAVLRL
FQEPVPKAALHRHGRLSPRSARARVTVEWLRVRDDGSNRTSLIDSRLVSVHESGWKAFDV
TEAVNFWQQLSRPRQPLLLQVSVQREHLGPLASGAHKLVRFASQGAPAGLGEPQLELHTL
DLGDYGAQGDCDPEAPMTEGTRCCRQEMYIDLQGMKWAENWVLEPPGFLAYECVGTCRQP
PEALAFKWPFLGPRQCIASETDSLPMIVSIKEGGRTRPQVVSLPNMRVQKCSCASDGALV
PRRLQP

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	O75610-D1	1-366	366		MQPLWLCWALWVLPLASPGAALTGEQLLGSLLRQLQLKEVPTLDRADMEELVIPTHVRAQYVALLQRSHGDRSRGKRFSQSFREVAGRFLALEASTHLLVFGMEQRLPPNSELVQAVLRLFQEPVPKAALHRHGRLSPRSARARVTVEWLRVRDDGSNRTSLIDSRLVSVHESGWKAFDVTEAVNFWQQLSRPRQPLLLQVSVQREHLGPLASGAHKLVRFASQGAPAGLGEPQLELHTLDLGDYGAQGDCDPEAPMTEGTRCCRQEMYIDLQGMKWAENWVLEPPGFLAYECVGTCRQPPEALAFKWPFLGPRQCIASETDSLPMIVSIKEGGRTRPQVVSLPNMRVQKCSCASDGALVPRRLQP

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.7046

(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	5ntuA	0.76	2.10	0.173	0.806	model1_5ntuA.pdb.gz
2	5hlyA	0.40	4.35	0.086	0.494	model1_5hlyA.pdb.gz
3	6ysqA	0.39	6.31	0.041	0.598	model1_6ysqA.pdb.gz
4	1jqnA	0.37	6.58	0.044	0.612	model1_1jqnA.pdb.gz
5	4ycgA	0.37	3.24	0.132	0.421	model1_4ycgA.pdb.gz
6	1jqoA	0.37	6.53	0.048	0.593	model1_1jqoA.pdb.gz
7	6thhC1	0.37	6.37	0.072	0.587	model1_6thhC1.pdb.gz
8	5vkuL	0.36	5.98	0.057	0.555	model1_5vkuL.pdb.gz
9	3k1qI	0.36	5.85	0.037	0.538	model1_3k1qI.pdb.gz
10	2a8eA	0.21	5.20	0.049	0.298	model1_2a8eA.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:0005102	0.98	receptor binding
GO:0005160	0.97	transforming growth factor beta receptor binding
GO:0005125	0.81	cytokine 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:0050794	0.97	regulation of cellular process
GO:0044699	0.92	single-organism process
GO:0032502	0.79	developmental process
GO:0009987	0.79	cellular process
GO:0044767	0.77	single-organism developmental process
GO:0048518	0.76	positive regulation of biological process
GO:0080090	0.75	regulation of primary metabolic process
GO:0060255	0.75	regulation of macromolecule metabolic process
GO:0048522	0.75	positive regulation of cellular process
GO:0031323	0.75	regulation of cellular metabolic process
GO:0044763	0.74	single-organism cellular process
GO:0031325	0.73	positive regulation of cellular metabolic process
GO:0010604	0.73	positive regulation of macromolecule metabolic process
GO:0007165	0.72	signal transduction
GO:0048856	0.71	anatomical structure development
GO:0051246	0.70	regulation of protein metabolic process
GO:0048869	0.70	cellular developmental process
GO:0048583	0.70	regulation of response to stimulus
GO:0023051	0.70	regulation of signaling
GO:0010646	0.70	regulation of cell communication
GO:0045937	0.69	positive regulation of phosphate metabolic process
GO:0032270	0.69	positive regulation of cellular protein metabolic process
GO:0031399	0.69	regulation of protein modification process
GO:0009967	0.69	positive regulation of signal transduction
GO:0001934	0.68	positive regulation of protein phosphorylation
GO:0043408	0.67	regulation of MAPK cascade
GO:0042981	0.64	regulation of apoptotic process
GO:0090100	0.62	positive regulation of transmembrane receptor protein serine/threonine kinase signaling pathway
GO:0010862	0.61	positive regulation of pathway-restricted SMAD protein phosphorylation
GO:0048468	0.59	cell development
GO:0060395	0.58	SMAD protein signal transduction
GO:0048523	0.56	negative regulation of cellular process
GO:0051239	0.50	regulation of multicellular organismal 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:0044421	0.99	extracellular region part
GO:0005615	0.97	extracellular space
GO:0044464	0.71	cell part
GO:0044424	0.62	intracellular 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	1ev11	0.340	4.75	0.052	0.451	3.4.22.28	269,318
2	0.060	2cseA	0.359	5.53	0.045	0.525	2.7.7.50	NA
3	0.060	1c8m1	0.327	4.75	0.032	0.437	3.4.22.28	NA
4	0.060	1kitA	0.330	6.36	0.061	0.514	3.2.1.18	NA
5	0.060	2e8yA	0.296	6.69	0.059	0.478	3.2.1.41	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	3gvkB	0.338	6.42	0.040	0.541	0.84	UUU	complex1.pdb.gz	271,272,273,282,283,284,285,286

	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.