D-I-TASSER P00736-D3

D-I-TASSER results for P00736-D3

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

Input Sequence in FASTA format

>P00736 (113 residues)
CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPY
DQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE

Predicted Secondary Structure

Sequence	20 40 60 80 100 \| \| \| \| \| CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE
Prediction	CCCCSSCCCCSSSSCCCCCCCCCCCCSSSSSSSCCCCCSSSSSSSSCSSSCCCCCCCCCCCSSSSSSCCCSSSSSCCCCCCCCSSSSCCSSSSSSSSCCCCCCCCSSSSSSSC
Confidence	97717818974996999997898997199999908994899999620221246799988818999808970551048838994998099899999979988888579999989
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 \| \| \| \| \| CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE
Prediction	87452445750402013235733553404234515652303030343031444444404243030224364134122543344230433303020312433544334043438
	Values range from 0 (buried residue) to 8 (highly exposed residue)

Predicted Contact, Hydrogen and Distance Map Used in D-I-TASSER simulation

Contact Map

Distance Map

Hydrogen bond networks

D-I-TASSER simulation is guided by the consensus contact map (left figure), distance map (middle figure) and Hydrogen bond network (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.

Top 10 threading templates used by D-I-TASSER

Rank

PDB
hit

ID1

ID2

Cov

Norm.
Zscore

Download
alignment

                  20                  40                  60                  80                 100

                   |                   |                   |                   |                   |

SS
Seq

CCCCSSCCCCSSSSCCCCCCCCCCCCSSSSSSSCCCCCSSSSSSSSCSSSCCCCCCCCCCCSSSSSSCCCSSSSSCCCCCCCCSSSSCCSSSSSSSSCCCCCCCCSSSSSSSC
CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE

3demA

0.42

12.23

1.50

DEthreader

CSDNLFTQRTGVITSPDFPNPYPKSSECLYTIELEEGFMVNLQFEDIFDIEDHPEVPCPYDYIKIKVGPKVLGPFCGEKAPEPISTQSHSVLILFHSDNSGENRGWRLSYRAA

6f1cA2

1.00

28.00

2.33

SPARKS-K

CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE

2qqmA1

0.31

9.35

0.95

MapAlign

PCSQNYTTPSGVIKSPGFPEKYPNSLECTYIVFAPKMSEIILEFES-FDLEPDGGMFCRYDRLEIWDGGPHIGRYCGQKTPGRIRSSSGILSMVFYTDSAIAKEGFSANYSVL

2qqmA

0.32

9.58

0.70

CEthreader

CSQ-NYTTPSGVIKSPGFPEKYPNSLECTYIVFAPKMSEIILEFES-FDLEPDGGMFCRYDRLEIWDGGPHIGRYCGQKTPGRIRSSSGILSMVFYTDSAIAKEGFSANYSVL

6f1cA2

1.00

28.00

2.21

MUSTER

CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE

2qqmA

0.32

0.31

9.35

2.36

HHsearch

CSQNY-TTPSGVIKSPGFPEKYPNSLECTYIVFAPKMSEIILEFES-FDLEPDGGMFCRYDRLEIWDGGPHIGRYCGQKTPGRIRSSSGILSMVFYTDSAIAKEGFSANYSVL

6f1cA2

1.00

28.00

1.95

FFAS-3D

CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE

6f1cA2

1.00

28.00

1.00

EigenThreader

CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE

6f1cA

1.00

28.00

2.13

CNFpred

CSSELYTEASGYISSLEYPRSYPPDLRCNYSIRVERGLTLHLKFLEPFDIDDHQQVHCPYDQLQIYANGKNIGEFCGKQRPPDLDTSSNAVDLLFFTDESGDSRGWKLRYTTE

3demA2

0.42

12.23

1.50

DEthreader

CSDNLFTQRTGVITSPDFPNPYPKSSECLYTIELEEGFMVNLQFEDIFDIEDHPEVPCPYDYIKIKVGPKVLGPFCGEKAPEPISTQSHSVLILFHSDNSGENRGWRLSYRAA

(a)	ID1 is the number of template residues identical to query divided by number of aligned residues.
(b)	ID2 is the number of template residues identical to query divided by query sequence length.
(c)	Cov is equal the number of aligned template residues divided by query sequence length.
(d)	Norm. Zscore is the normalized Z-score of the threading alignments. A Normalized Z-score >1 means a good alignment and is highlighted in bold.
(e)	Download alignment lists the threading program used to identify the template, and provide the 3D structure of aligned regions of threading templates (threading[1-10].pdb.gz).
(f)	Template residues identical to query sequence are highlighted in color.

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.9423

(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	3demA2	0.97	0.78	0.416	1.000	model1_3demA2.pdb.gz
2	6f1cA2	0.97	0.79	1.000	1.000	model1_6f1cA2.pdb.gz
3	4losA1	0.93	1.27	0.372	1.000	model1_4losA1.pdb.gz
4	2wnoA	0.91	1.14	0.282	0.974	model1_2wnoA.pdb.gz
5	2qqmA1	0.90	1.34	0.324	0.974	model1_2qqmA1.pdb.gz
6	2qqoA1	0.89	1.00	0.346	0.947	model1_2qqoA1.pdb.gz
7	1nt0A2	0.89	1.01	0.443	0.938	model1_1nt0A2.pdb.gz
8	3kq4B1	0.88	1.38	0.339	0.965	model1_3kq4B1.pdb.gz
9	4lmfA1	0.85	1.35	0.279	0.920	model1_4lmfA1.pdb.gz
10	1n7dA	0.34	4.70	0.011	0.620	model1_1n7dA.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	0.44	catalytic activity
GO:0016787	0.37	hydrolase activity
GO:0008233	0.35	peptidase activity
GO:0070011	0.32	peptidase activity, acting on L-amino acid peptides

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	0.82	single-organism process
GO:0065007	0.79	biological regulation
GO:0050789	0.77	regulation of biological process
GO:0009987	0.68	cellular process
GO:0044763	0.60	single-organism cellular process
GO:0050794	0.59	regulation of cellular process
GO:0048583	0.55	regulation of response to stimulus
GO:0048518	0.50	positive regulation of biological 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	0.71	cell part
GO:0044421	0.58	extracellular region part
GO:0044424	0.49	intracellular part
GO:0016020	0.43	membrane
GO:0043226	0.42	organelle
GO:0043227	0.39	membrane-bounded organelle
GO:0005615	0.37	extracellular space
GO:0005576	0.35	extracellular region
GO:0044444	0.33	cytoplasmic part
GO:0044425	0.32	membrane 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	0.268	1nziB	0.839	1.36	0.282	0.911	3.4.21.42	11,41,65,73,110,112
2	0.060	3d6eB	0.572	3.45	0.071	0.858	3.2.1.73	74
3	0.060	1eg1A	0.431	4.68	0.049	0.841	3.2.1.4	61
4	0.060	2c9aA	0.553	3.81	0.059	0.894	3.1.3.48	80
5	0.060	1o4zB	0.567	3.47	0.067	0.858	3.2.1.81	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	0.38	3pogA	0.950	0.89	0.429	0.991	0.59	CA	complex1.pdb.gz	102,104,105
2	0.30	3kq4B	0.898	1.28	0.264	0.974	1.11	CA	complex2.pdb.gz	51,61,98,99,100,101,102
3	0.28	2wnoA	0.913	1.14	0.282	0.974	0.58	CA	complex3.pdb.gz	49,51,103,104
4	0.08	3pobA	0.955	0.82	0.429	0.991	1.03	III	complex4.pdb.gz	51,53,59,60
5	0.06	1nzi0	0.824	1.46	0.284	0.903	0.69	III	complex5.pdb.gz	9,10,18,19,38,43,46

	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.