D-I-TASSER Q96BH3-D2

D-I-TASSER results for Q96BH3-D2

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

Input Sequence in FASTA format

>Q96BH3 (51 residues)
QSEDYPRCIFPFIYRGKAYNSCISQGSFLGSLWCSVTSVFDEKQQWKFCET

Predicted Secondary Structure

Sequence	20 40 \| \| QSEDYPRCIFPFIYRGKAYNSCISQGSFLGSLWCSVTSVFDEKQQWKFCET
Prediction	CCCCCCCCSCCSSSCCSSSCCCCCCCCCCCCSSSCCCCCCCCCCCCCCCCC
Confidence	999999763886889999735303798799612403465455885135899
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 \| \| QSEDYPRCIFPFIYRGKAYNSCISQGSFLGSLWCSVTSVFDEKQQWKFCET
Prediction	868736403010326644244115444755331112144256554264278
	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

                   |                   |

SS
Seq

CCCCCCCCSCCSSSCCSSSCCCCCCCCCCCCSSSCCCCCCCCCCCCCCCCC
QSEDYPRCIFPFIYRGKAYNSCISQGSFLGSLWCSVTSVFDEKQQWKFCET

1e8bA

0.33

0.31

9.41

1.00

DEthreader

SN-GEPCVLPFTYN-GRTFYSCTTEGRQDGHLWCSTTSNYQD-QKYSFCTT

6szwD

0.32

0.31

9.45

4.18

SPARKS-K

LTVTGEPCHFPFQYHRQLYHKCTHKGRPGPQPWCATTPNFDQDQRWGYCL-

1e8bA1

0.38

0.35

10.45

0.84

MapAlign

----GEPCVLPFTYNGRTFYSCTTEGRQDGHLWCSTTSNYEQDQKYSFCTD

1e8bA

0.35

10.53

0.70

CEthreader

GNSNGEPCVLPFTYNGRTFYSCTTEGRQDGHLWCSTTSNYEQDQKYSFCTD

1gxdA3

0.43

0.41

12.08

3.26

MUSTER

GNADGEYCKFPFLFNGKEYNSCTDTGRSDGFLWCSTTYNFEKDGKYGFC--

1gxdA1

0.36

0.35

10.51

2.08

HHsearch

GNSEGAPCVFPFTFLGNKYESCTSAGRSDGKMWCATTANYDDDRKWGFCP-

3m7pA4

0.32

0.31

9.45

0.95

FFAS-3D

-NSNGALCHFPFLYNNHNYTDCTSEGRRDNMKWCGTTQNYDADQKFGFCPM

7jptA2

0.24

7.33

0.57

EigenThreader

YTSYGRPCEFPFLIDGTWHHDCILDED-HSGPWCATTLNYEYDRKWGICLK

3mqlA

0.35

10.53

2.08

CNFpred

GNSNGEPCVLPFTYNGRTFYSCTTEGRQDGHLWCSTTSNYEQDQKYSFCTD

1e8bA1

0.39

0.37

11.02

1.00

DEthreader

-GGNGEPCVLPFTYNGRTFYSCTTEGRQDGHLWCSTTSNYQD-QKYSFCTT

(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	0.6301

(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	3m7pA	0.93	0.71	0.353	1.000	model1_3m7pA.pdb.gz
2	1l6jA1	0.91	0.87	0.353	1.000	model1_1l6jA1.pdb.gz
3	5xtsA	0.90	0.85	0.314	1.000	model1_5xtsA.pdb.gz
4	5ao5A	0.89	0.97	0.294	1.000	model1_5ao5A.pdb.gz
5	1gxdA	0.88	1.04	0.353	1.000	model1_1gxdA.pdb.gz
6	1cxwA	0.82	1.42	0.314	1.000	model1_1cxwA.pdb.gz
7	1e8bA1	0.81	1.25	0.353	1.000	model1_1e8bA1.pdb.gz
8	2v5oA	0.80	1.79	0.417	0.941	model1_2v5oA.pdb.gz
9	1h8pA2	0.77	0.66	0.452	0.824	model1_1h8pA2.pdb.gz
10	1o9aA2	0.39	2.98	0.073	0.686	model1_1o9aA2.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	0.55	catalytic activity
GO:0019899	0.52	enzyme binding
GO:0044877	0.50	macromolecular complex 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:0044699	0.92	single-organism process
GO:0009987	0.88	cellular process
GO:0065007	0.81	biological regulation
GO:0044763	0.81	single-organism cellular process
GO:0050789	0.79	regulation of biological process
GO:0032502	0.77	developmental process
GO:0008152	0.76	metabolic process
GO:0044767	0.75	single-organism developmental process
GO:0032501	0.75	multicellular organismal process
GO:0050794	0.74	regulation of cellular process
GO:0044707	0.74	single-multicellular organism process
GO:0050896	0.71	response to stimulus
GO:0048518	0.70	positive regulation of biological process
GO:0071704	0.64	organic substance metabolic process
GO:0048522	0.64	positive regulation of cellular process
GO:0006950	0.64	response to stress
GO:0048869	0.63	cellular developmental process
GO:0043170	0.62	macromolecule metabolic process
GO:0048583	0.61	regulation of response to stimulus
GO:0044238	0.60	primary metabolic process
GO:0051179	0.59	localization
GO:0044237	0.59	cellular metabolic process
GO:0006810	0.58	transport
GO:0051716	0.57	cellular response to stimulus
GO:0048584	0.57	positive regulation of response to stimulus
GO:0016043	0.57	cellular component organization
GO:0019538	0.55	protein metabolic process
GO:0048856	0.53	anatomical structure development
GO:0032879	0.53	regulation of localization
GO:0044710	0.52	single-organism metabolic process
GO:0023051	0.52	regulation of signaling
GO:0010646	0.52	regulation of cell communication
GO:1902531	0.51	regulation of intracellular signal transduction
GO:0048519	0.51	negative regulation of biological process
GO:0019222	0.51	regulation of metabolic process
GO:0010033	0.51	response to organic substance
GO:0080134	0.50	regulation of response to stress
GO:0080090	0.50	regulation of primary metabolic process
GO:0031323	0.50	regulation of cellular metabolic 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	0.96	cell part
GO:0044424	0.87	intracellular part
GO:0044421	0.83	extracellular region part
GO:0044444	0.71	cytoplasmic part
GO:0005615	0.71	extracellular space
GO:0016020	0.70	membrane
GO:0043226	0.69	organelle
GO:0043227	0.68	membrane-bounded organelle
GO:0031012	0.67	extracellular matrix
GO:0005576	0.67	extracellular region
GO:0044422	0.63	organelle part
GO:0043229	0.61	intracellular organelle
GO:0044446	0.60	intracellular organelle part
GO:0043231	0.59	intracellular membrane-bounded organelle
GO:0005578	0.54	proteinaceous extracellular matrix

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	1qo8A	0.416	3.44	0.000	0.882	1.3.99.1	NA
2	0.060	1ki0A	0.518	2.78	0.104	0.824	3.4.21.7	NA
3	0.060	2ac1A	0.417	2.92	0.063	0.686	3.2.1.26	4
4	0.060	1cxwA	0.822	1.42	0.314	1.000	3.4.24.24	NA
5	0.060	2djfB	0.263	4.30	0.000	0.706	3.4.14.1	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	0.03	2i9b0	0.498	2.46	0.188	0.824	0.59	III	complex1.pdb.gz	22,23,24,25,26,28,29,30,31,32,33,35

	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.