D-I-TASSER Q8IY22-D2

D-I-TASSER results for Q8IY22-D2

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

Input Sequence in FASTA format

>Q8IY22 (130 residues)
NPSRWEVVLKEIRTLVDMALTSPLQDDSINQAPLEIVSKLLSENTNLTTQEHENIIVAIA
PLLENNHPPPDLCEFFCKHCRERPRSMVVIEVFTPVVQRILKHNMDFGKCPRLRLFTQEY
ILALNELNAG

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 \| \| \| \| \| \| NPSRWEVVLKEIRTLVDMALTSPLQDDSINQAPLEIVSKLLSENTNLTTQEHENIIVAIAPLLENNHPPPDLCEFFCKHCRERPRSMVVIEVFTPVVQRILKHNMDFGKCPRLRLFTQEYILALNELNAG
Prediction	CCCHHHHHHHHHHHHHHHHHCCCCCCCCHHHCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHCCC
Confidence	9841889999999999999617664210111239999999825666303899999999868875179999999999999984898526688632999999986167667937999999999999962289
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 \| \| \| \| \| \| NPSRWEVVLKEIRTLVDMALTSPLQDDSINQAPLEIVSKLLSENTNLTTQEHENIIVAIAPLLENNHPPPDLCEFFCKHCRERPRSMVVIEVFTPVVQRILKHNMDFGKCPRLRLFTQEYILALNELNAG
Prediction	8664442004204310420242414356134201410241045547443551430032032115635234400410152057344341234203420330043215224244034103300300254588
	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

                   |                   |                   |                   |                   |                   |

SS
Seq

CCCHHHHHHHHHHHHHHHHHCCCCCCCCHHHCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHCCC
NPSRWEVVLKEIRTLVDMALTSPLQDDSINQAPLEIVSKLLSENTNLTTQEHENIIVAIAPLLENNHPPPDLCEFFCKHCRERPRSMVVIEVFTPVVQRILKHNMDFGKCPRLRLFTQEYILALNELNAG

2xplA

0.11

0.10

3.64

1.33

DEthreader

TLEISRSLKKRMQDILKKDNANNRPA-TGKIENVEEISDILM-SKALQESLLDGILDEIKGWLEPMPIRKRLLDVLKTM--KI-HKEHLVTSVGKIVYFYSI-NPKE-SKE-VRASAKALVQKWTNEVFK

5cwjA

0.17

0.15

5.08

0.83

SPARKS-K

KSGTEESLRQAIEDVAQLAKKS--QDSEVLEEAIRVILRIAKESG--SEEALRQAIRAVAEIAKEAQDSEEAIRVILRIAKESG-SEEALRQAIRAVAEIAKEAQD----PRVLEEAIRVIRQIAEESGS

5ifeC3

0.07

0.06

2.56

0.66

MapAlign

SALGIPSLLPFLKAVC--KSKKSW---QARHTGIKIVQQIAILMCAI-LPHLRSLVEIIEHGLVDQQKVTISALAIAALAEAATPGIESFDSVLKPLWKGIRQ-----HRGKGLAAFLKAIGYLIPLM--

5ifeC3

0.07

0.06

2.57

0.51

CEthreader

SALGIPSLLPFLKAVCKSK-----KSWQARHTGIKIVQQIAILMGCAILPHLRSLVEIIEHGLVDEQQKTISALAIAALAEAATPGIESFDSVLKPLWKGIRQHR-----GKGLAAFLKAIGYLIPLM--

1qgkA2

0.10

3.65

0.61

MUSTER

SKFYAKGALQYLVPILTQTLTKQDEDWNPCKAAGVCLMLLAT---CCEDDIVPHVLPFIKEHIKNPDWRDAAVMAFGCILEGPEP-SQLKPLVIQAMPTLIELMKD--PSVVVRDTAAWTVGRICELLPE

1vt4I

0.13

4.52

0.57

HHsearch

DHHSMTLTPDEVKSLLLKYLDCRPQDEVLTTNPRRLSIIAESIRDATWDNWKCDKLTTIIESSLNVLEPAEYRKMFDRLSVFPP-SAHSLIWFDVIKSDVMHKYSLVEKQALHRSIVDHYNIPKTFDSDD

7cunG6

0.13

0.12

4.03

0.77

FFAS-3D

--TPVDLKLKLIPILQHM-----HHDAILASSARQLLQQLVTSYPS--TKMVIVSLHTFTLLAASSLVDPKQIQLLLQYLKNDPRKAVKRLAIQ-DLKLLANKTPHTWSRENIQALCEGMLSVLSTLSG-

4c0oA3

0.03

1.79

0.67

EigenThreader

CQKVIQEIWPVLSETLNKH----RADNRIVERCCRCLRFAVRCVGKGSAALLQPLVTQMVNVYHVHQH-SCFLYLGSILVDEYGMEEGLLDMLQALCIPTFQLLNGLQNHPDTVDDLFRLATRFIQRSPV

5cwbA

0.14

4.73

0.68

CNFpred

EDEIAEEVAREISEVIRTLKESGSSYEVICECVARIVAEIVEALKTSEDEIAEIVARVISEVIRTLKSYEVICECVARIVAEI-SEDEIAEIVARVISEVIRTLKESGSYEVIKECVQRIVEEIVEALKR

6u1sA1

0.07

2.87

1.17

DEthreader

FARAISAIAELAKKAIEAIYRLATFMAKAIEAIAELAKEAIKAIDLAFMARAIAIAELARKAIDAIAEAAELAKEAIKAIADLAKFMEAISAIAELARKAIEAILRAMRKEAIEKIARTAEEAIRDLARN

(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	0.735

(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	2xplA	0.77	2.20	0.098	0.939	model1_2xplA.pdb.gz
2	6u1sA1	0.75	2.70	0.085	1.000	model1_6u1sA1.pdb.gz
3	6nuwH	0.74	2.62	0.047	0.977	model1_6nuwH.pdb.gz
4	3a6pA	0.74	3.07	0.062	0.985	model1_3a6pA.pdb.gz
5	6m6xC	0.74	2.95	0.115	1.000	model1_6m6xC.pdb.gz
6	4kf7A2	0.73	2.90	0.102	0.977	model1_4kf7A2.pdb.gz
7	3gs3A	0.73	2.65	0.073	0.931	model1_3gs3A.pdb.gz
8	3gjxA	0.69	3.06	0.079	0.969	model1_3gjxA.pdb.gz
9	3icqT	0.69	3.25	0.087	0.969	model1_3icqT.pdb.gz
10	3o2qA2	0.66	3.32	0.085	0.908	model1_3o2qA2.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:1901363	0.52	heterocyclic compound binding
GO:0097159	0.52	organic cyclic compound binding
GO:0000990	0.50	transcription factor activity, core RNA polymerase binding
GO:0000989	0.50	transcription factor activity, transcription factor 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:0009987	0.73	cellular process
GO:0044699	0.70	single-organism process
GO:0065007	0.65	biological regulation
GO:0050789	0.65	regulation of biological process
GO:0008152	0.65	metabolic process
GO:0071704	0.64	organic substance metabolic process
GO:0044238	0.64	primary metabolic process
GO:0050794	0.63	regulation of cellular process
GO:0044237	0.63	cellular metabolic process
GO:0044260	0.62	cellular macromolecule metabolic process
GO:0044763	0.61	single-organism cellular process
GO:0006807	0.60	nitrogen compound metabolic process
GO:0034641	0.59	cellular nitrogen compound metabolic process
GO:1901576	0.58	organic substance biosynthetic process
GO:0044249	0.57	cellular biosynthetic process
GO:0019222	0.57	regulation of metabolic process
GO:0006139	0.57	nucleobase-containing compound metabolic process
GO:0090304	0.56	nucleic acid metabolic process
GO:0060255	0.56	regulation of macromolecule metabolic process
GO:0044271	0.56	cellular nitrogen compound biosynthetic process
GO:0009059	0.56	macromolecule biosynthetic process
GO:1901362	0.55	organic cyclic compound biosynthetic process
GO:0080090	0.55	regulation of primary metabolic process
GO:0031323	0.55	regulation of cellular metabolic process
GO:0016070	0.55	RNA metabolic process
GO:0006810	0.55	transport
GO:0051171	0.54	regulation of nitrogen compound metabolic process
GO:0032774	0.54	RNA biosynthetic process
GO:0016043	0.54	cellular component organization
GO:0010468	0.54	regulation of gene expression
GO:0009889	0.54	regulation of biosynthetic process
GO:2000112	0.53	regulation of cellular macromolecule biosynthetic process
GO:0065008	0.53	regulation of biological quality
GO:0051704	0.53	multi-organism process
GO:0046907	0.53	intracellular transport
GO:0019219	0.53	regulation of nucleobase-containing compound metabolic process
GO:0006996	0.53	organelle organization
GO:1902583	0.52	multi-organism intracellular transport
GO:0046794	0.52	transport of virus
GO:0043487	0.52	regulation of RNA stability
GO:0019058	0.52	viral life cycle
GO:0006355	0.52	regulation of transcription, DNA-templated
GO:0000819	0.52	sister chromatid segregation
GO:0071702	0.51	organic substance transport
GO:0032784	0.50	regulation of DNA-templated transcription, elongation
GO:0006406	0.50	mRNA export from nucleus
GO:0006368	0.50	transcription elongation from RNA polymerase II promoter

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	0.99	cell part
GO:0044424	0.97	intracellular part
GO:0043226	0.88	organelle
GO:0043227	0.87	membrane-bounded organelle
GO:0043229	0.84	intracellular organelle
GO:0043231	0.83	intracellular membrane-bounded organelle
GO:0044446	0.80	intracellular organelle part
GO:0005634	0.76	nucleus
GO:0044444	0.71	cytoplasmic part
GO:0005737	0.64	cytoplasm
GO:0032991	0.56	macromolecular complex
GO:0044428	0.53	nuclear part
GO:0043234	0.53	protein complex

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	1l2aE	0.568	4.14	0.084	0.900	3.2.1.4	NA
2	0.060	1rw9A	0.604	3.44	0.107	0.846	4.2.2.5	NA
3	0.060	2caiB	0.551	3.02	0.111	0.746	2.5.1.18	NA
4	0.060	2q1fA	0.608	3.40	0.090	0.854	4.2.2.21	NA
5	0.060	1ojnA	0.591	3.48	0.123	0.869	4.2.2.1	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:

No Binding sites was predicted

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

	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.