D-I-TASSER P42684-D6

D-I-TASSER results for P42684-D6

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

Input Sequence in FASTA format

>P42684 (59 residues)
SLAYNTFSIKSDVWAFGVLLWEIATYGMSPYPGIDLSQVYDLLEKGYRMEQPEGCPPKV

Predicted Secondary Structure

Sequence	20 40 \| \| SLAYNTFSIKSDVWAFGVLLWEIATYGMSPYPGIDLSQVYDLLEKGYRMEQPEGCPPKV
Prediction	CCCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHCCCCCCCCCCCCCCC
Confidence	98658445244556777789998815999999999999999999089899999999559
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 \| \| SLAYNTFSIKSDVWAFGVLLWEIATYGMSPYPGIDLSQVYDLLEKGYRMEQPEGCPPKV
Prediction	74644422241315223112110303343214615364025206743417428714778
	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 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.

Top 10 threading templates used by D-I-TASSER

Rank

PDB
hit

ID1

ID2

Cov

Norm.
Zscore

Download
alignment

                  20                  40

                   |                   |

SS
Seq

CCCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHCCCCCCCCCCCCCCC
SLAYNTFSIKSDVWAFGVLLWEIATYGMSPYPGIDLSQVYDLLEKGYRMEQPEGCPPKV

3p86A2

0.38

0.37

11.05

1.17

DEthreader

VLRDEPSNEKSDVYSFGVILWELATL-QQPWGNLNPAQVVAAVGKCKRLEIPRNLNPQV

4cdsA2

0.61

17.47

1.73

SPARKS-K

AISYNRFSIKSDVWAFGILLWEIFTYGQVPYPGMSGSEVIEQVERGYRMPRPQGCPEEI

6w39A

0.11

0.10

3.71

0.68

MapAlign

APLSENPTYTVDIFSAGCVFYYVISEGSHPF--GKSLQRQANILLGACLDCLVIARELI

5d7vA2

0.44

12.90

0.34

CEthreader

ALSRGHYSTKSDVWSFGILLHEMFSRGQVPYPGMSNHEAFLRVDAGYRMPCPLECPPSV

4cdsA2

0.61

17.47

1.74

MUSTER

AISYNRFSIKSDVWAFGILLWEIFTYGQVPYPGMSGSEVIEQVERGYRMPRPQGCPEEI

4fl2A

0.53

15.19

1.01

HHsearch

CINYYKFSSKSDVWSFGVLMWEAFSYGQKPYRGMKGSEVTAMLEKGERMGCPAGCPREM

3genA2

0.42

12.44

1.21

FFAS-3D

VLMYSKFSSKSDIWAFGVLMWEIYSLGKMPYERFTNSETAEHIAQGLRLYRPHLASEKV

4fl2A

0.53

15.19

0.87

EigenThreader

CINYYKFSSKSDVWSFGVLMWEAFSYGQKPYRGMKGSEVTAMLEKGERMGCPAGCPREM

2fo0A

0.92

25.71

1.14

CNFpred

SLAYNKFSIKSDVWAFGVLLWEIATYGMSPYPGIDLSQVYELLEKDYRMERPEGCPEKV

3p86A

0.38

0.37

11.05

1.17

DEthreader

VLRDEPSNEKSDVYSFGVILWELATL-QQPWGNLNPAQVVAAVGKCKRLEIPRNLNPQV

(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	0.6643

(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	4y93A3	0.88	1.02	0.407	1.000	model1_4y93A3.pdb.gz
2	4cdsA2	0.87	1.07	0.610	1.000	model1_4cdsA2.pdb.gz
3	2xb7A	0.87	1.08	0.407	1.000	model1_2xb7A.pdb.gz
4	4xi2A	0.87	1.08	0.407	1.000	model1_4xi2A.pdb.gz
5	3zzwA	0.86	1.13	0.373	1.000	model1_3zzwA.pdb.gz
6	3sxrA	0.86	1.14	0.356	1.000	model1_3sxrA.pdb.gz
7	3genA	0.86	1.13	0.424	1.000	model1_3genA.pdb.gz
8	3fxxA2	0.86	1.17	0.373	1.000	model1_3fxxA2.pdb.gz
9	5u6bA	0.85	1.21	0.508	1.000	model1_5u6bA.pdb.gz
10	6tu9A	0.85	1.22	0.390	1.000	model1_6tu9A.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	0.93	catalytic activity
GO:0016740	0.92	transferase activity
GO:0004672	0.90	protein kinase activity
GO:0004713	0.85	protein tyrosine kinase activity
GO:0005102	0.68	receptor binding
GO:0004715	0.64	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	0.94	biological regulation
GO:0050789	0.94	regulation of biological process
GO:0009987	0.94	cellular process
GO:0044699	0.93	single-organism process
GO:0050794	0.92	regulation of cellular process
GO:0044763	0.88	single-organism cellular process
GO:0071704	0.85	organic substance metabolic process
GO:0044238	0.85	primary metabolic process
GO:0044237	0.85	cellular metabolic process
GO:0043170	0.83	macromolecule metabolic process
GO:0007165	0.83	signal transduction
GO:0044260	0.82	cellular macromolecule metabolic process
GO:0006796	0.80	phosphate-containing compound metabolic process
GO:0006464	0.80	cellular protein modification process
GO:0006468	0.79	protein phosphorylation
GO:0007166	0.78	cell surface receptor signaling pathway
GO:0050896	0.74	response to stimulus
GO:0048869	0.74	cellular developmental process
GO:0007169	0.73	transmembrane receptor protein tyrosine kinase signaling pathway
GO:0046777	0.71	protein autophosphorylation
GO:0006950	0.68	response to stress
GO:0042127	0.67	regulation of cell proliferation
GO:0018108	0.67	peptidyl-tyrosine phosphorylation
GO:0030154	0.65	cell differentiation
GO:0002376	0.65	immune system process
GO:0006952	0.63	defense response
GO:0006955	0.62	immune response
GO:0045087	0.61	innate immune response
GO:0038083	0.61	peptidyl-tyrosine autophosphorylation

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	0.93	intracellular part
GO:0044425	0.83	membrane part
GO:0044459	0.79	plasma membrane part
GO:0031234	0.67	extrinsic component of cytoplasmic side of plasma 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	2dq7X	0.828	1.28	0.475	1.000	2.7.10.2	NA
2	0.060	2ozoA	0.823	1.42	0.407	1.000	2.7.10.2	NA
3	0.060	1yi6A	0.839	1.22	0.492	1.000	2.7.10.2	17
4	0.060	2helA	0.819	1.37	0.373	1.000	2.7.10.1	NA
5	0.060	3eqrB	0.848	1.23	0.475	1.000	2.7.10.2	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	0.58	3g5dA	0.833	1.26	0.492	1.000	0.17	1N1	complex1.pdb.gz	17,24,28,43,44,46,50,51
2	0.57	2qq7B	0.825	1.28	0.492	1.000	0.16	SR2	complex2.pdb.gz	18,19,46,47,52
3	0.55	3dqwD	0.828	1.27	0.492	1.000	0.15	SAP	complex3.pdb.gz	15,17,47,50
4	0.54	3d7tB	0.832	1.23	0.492	1.000	0.18	STU	complex4.pdb.gz	16,46,47
5	0.54	3en4A	0.832	1.25	0.492	1.000	0.18	KS1	complex5.pdb.gz	17,25,47
6	0.53	1u54B	0.835	1.30	0.475	1.000	0.18	ACP	complex6.pdb.gz	20,31,46
7	0.52	3bprB	0.827	1.29	0.542	1.000	0.30	OLP	complex7.pdb.gz	13,40,43,44
8	0.52	2hwoA	0.826	1.28	0.492	1.000	0.18	RBS	complex8.pdb.gz	8,17,48
9	0.51	1u54A	0.835	1.31	0.475	1.000	0.22	ACP	complex9.pdb.gz	13,46,48
10	0.50	3f6xB	0.830	1.25	0.492	1.000	0.22	IHH	complex10.pdb.gz	43,44,46

	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.