D-I-TASSER P40763-D3

D-I-TASSER results for P40763-D3

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

Input Sequence in FASTA format

>P40763 (148 residues)
VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGS
RKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITF
ETEVYHQGLKIDLETHSLPVVVISNICQ

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 \| \| \| \| \| \| \| VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ
Prediction	CCCCCCCCCCCCCCCSSSSSCCSSSSSSSSSSCCCCCCCCCSSSSSSSCCHHHHHHHCCCCCCCCCCCCCCSCCSCCCCCCCSSSSSCCCCSSSSSCCCCCCCCCCCCCSSSSSSSSSSSSSSSSSCCSSSSSSSCCCCSSSSSSCCC
Confidence	9221689888899982787275889999998547766765358999943413444321675434114576312320379992699961663245650678766555651022123578889999988989999981268899981679
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 140 \| \| \| \| \| \| \| VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ
Prediction	7455134346455301001343410020121041553445151413335535544446464425324434331443644431010304324145354665554446233312433210303142324614030423100000002438
	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                 120                 140

                   |                   |                   |                   |                   |                   |                   |

SS
Seq

CCCCCCCCCCCCCCCSSSSSCCSSSSSSSSSSCCCCCCCCCSSSSSSSCCHHHHHHHCCCCCCCCCCCCCCSCCSCCCCCCCSSSSSCCCCSSSSSCCCCCCCCCCCCCSSSSSSSSSSSSSSSSSCCSSSSSSSCCCCSSSSSSCCC
VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A3

0.93

0.84

23.53

1.17

DEthreader

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKSGDVAA-LRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQR-CGN-----------VTELHLITFETEVYHQGLKIDLETHSLPVVVISNIC-

1bg1A3

1.00

28.00

2.62

SPARKS-K

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A3

1.00

28.00

0.89

MapAlign

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A

1.00

28.00

0.95

CEthreader

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A3

1.00

28.00

2.45

MUSTER

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A3

1.00

28.00

4.38

HHsearch

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A3

1.00

28.00

2.67

FFAS-3D

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A3

0.90

0.83

23.36

1.17

EigenThreader

AFVPMHPD-----RPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDS-------GDVKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNAWA

1bg1A

1.00

28.00

3.82

CNFpred

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKDSGDVAALRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQRCGNGGRANCDASLIVTEELHLITFETEVYHQGLKIDLETHSLPVVVISNICQ

1bg1A

0.93

0.84

23.53

1.17

DEthreader

VVERQPCMPMHPDRPLVIKTGVQFTTKVRLLVKFPELNYQLKIKVCIDKSGDVAA-LRGSRKFNILGTNTKVMNMEESNNGSLSAEFKHLTLREQR-CGN-----------VTELHLITFETEVYHQGLKIDLETHSLPVVVISNIC-

(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	0.7817

(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	1bg1A3	0.99	0.55	1.000	1.000	model1_1bg1A3.pdb.gz
2	1yvlB4	0.86	1.50	0.669	0.919	model1_1yvlB4.pdb.gz
3	6ux2A	0.82	2.01	0.500	0.905	model1_6ux2A.pdb.gz
4	1y1uA3	0.69	2.78	0.323	0.811	model1_1y1uA3.pdb.gz
5	4y5uA1	0.63	2.58	0.296	0.730	model1_4y5uA1.pdb.gz
6	4h7uA	0.47	4.81	0.029	0.811	model1_4h7uA.pdb.gz
7	2blmA	0.33	5.26	0.062	0.622	model1_2blmA.pdb.gz
8	2ptkA1	0.28	5.05	0.044	0.500	model1_2ptkA1.pdb.gz
9	2btpA2	0.28	5.23	0.049	0.520	model1_2btpA2.pdb.gz
10	2bbuA	0.27	5.07	0.051	0.460	model1_2bbuA.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:0003700	0.64	transcription factor activity, sequence-specific DNA binding
GO:1901363	0.62	heterocyclic compound binding
GO:0097159	0.62	organic cyclic compound binding
GO:0003676	0.56	nucleic acid binding
GO:0003677	0.54	DNA binding
GO:0019899	0.53	enzyme binding

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	0.94	regulation of biological process
GO:0009987	0.94	cellular process
GO:0050794	0.93	regulation of cellular process
GO:0048518	0.87	positive regulation of biological process
GO:0044699	0.82	single-organism process
GO:0048522	0.78	positive regulation of cellular process
GO:0007165	0.77	signal transduction
GO:0080090	0.74	regulation of primary metabolic process
GO:0060255	0.74	regulation of macromolecule metabolic process
GO:0044763	0.74	single-organism cellular process
GO:0031323	0.74	regulation of cellular metabolic process
GO:0035556	0.72	intracellular signal transduction
GO:0007259	0.71	JAK-STAT cascade
GO:0051171	0.70	regulation of nitrogen compound metabolic process
GO:0050896	0.70	response to stimulus
GO:0031326	0.70	regulation of cellular biosynthetic process
GO:0010556	0.70	regulation of macromolecule biosynthetic process
GO:0006355	0.69	regulation of transcription, DNA-templated
GO:0048869	0.68	cellular developmental process
GO:0042221	0.64	response to chemical
GO:0010033	0.63	response to organic substance
GO:0071310	0.61	cellular response to organic substance
GO:0009893	0.59	positive regulation of metabolic process
GO:0031325	0.58	positive regulation of cellular metabolic process
GO:0010604	0.58	positive regulation of macromolecule metabolic process
GO:0050793	0.57	regulation of developmental process
GO:0045893	0.57	positive regulation of transcription, DNA-templated
GO:0032501	0.57	multicellular organismal process
GO:0051239	0.56	regulation of multicellular organismal process
GO:0030154	0.56	cell differentiation
GO:0042127	0.53	regulation of cell proliferation
GO:0034097	0.53	response to cytokine
GO:0008284	0.50	positive regulation of cell proliferation

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:0044424	1.00	intracellular part
GO:0005737	0.96	cytoplasm
GO:0043229	0.93	intracellular organelle
GO:0043227	0.92	membrane-bounded organelle
GO:0005634	0.91	nucleus
GO:0044446	0.58	intracellular organelle part
GO:0044428	0.52	nuclear 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	2d0gA	0.471	3.77	0.070	0.662	3.2.1.135	NA
2	0.060	1kshB	0.502	3.57	0.038	0.696	3.1.4.17	NA
3	0.060	1eusA	0.322	5.54	0.043	0.622	3.2.1.18	NA
4	0.060	1wd8A	0.520	3.99	0.059	0.790	3.5.3.15	NA
5	0.060	1l9mB	0.495	4.06	0.103	0.770	2.3.2.13	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	0.05	1y1u0	0.692	2.78	0.323	0.811	0.35	III	complex1.pdb.gz	21,37,42,67,69,72,88,89,93,125,127,128
2	0.04	1owrQ	0.664	3.24	0.128	0.831	0.32	QNA	complex2.pdb.gz	19,22,144
3	0.04	1owrN	0.664	2.93	0.120	0.818	0.15	QNA	complex3.pdb.gz	17,21,22,23,24
4	0.02	1le5F	0.611	3.26	0.103	0.784	0.17	QNA	complex4.pdb.gz	21,22,23,24

	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, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023.