D-I-TASSER Q9HC29-D1

D-I-TASSER results for Q9HC29-D1

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

Input Sequence in FASTA format

>Q9HC29 (127 residues)
MGEEGGSASHDEEERASVLLGHSPGCEMCSQEAFQAQRSQLVELLVSGSLEGFESVLDWL
LSWEVLSWEDYEGFHLLGQPLSHLARRLLDTVWNKGTWACQKLIAAAQEAQADSQSPKLH
GCWDPHS

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 \| \| \| \| \| \| MGEEGGSASHDEEERASVLLGHSPGCEMCSQEAFQAQRSQLVELLVSGSLEGFESVLDWLLSWEVLSWEDYEGFHLLGQPLSHLARRLLDTVWNKGTWACQKLIAAAQEAQADSQSPKLHGCWDPHS
Prediction	CCCCCCCCCCCCCCCCSSSSCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHCCCCHHHHHCCCCCCCCHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCC
Confidence	9876677897500254123316887322448999999999999996265556578999999851124675421313798668999999999998528999999999998363224667788889999
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 \| \| \| \| \| \| MGEEGGSASHDEEERASVLLGHSPGCEMCSQEAFQAQRSQLVELLVSGSLEGFESVLDWLLSWEVLSWEDYEGFHLLGQPLSHLARRLLDTVWNKGTWACQKLIAAAQEAQADSQSPKLHGCWDPHS
Prediction	8467546444566441112213333352246620453144004202424364242012202244214364154153345303530330021016314500330041045125754447146315558
	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                  60                  80                 100                 120

                   |                   |                   |                   |                   |                   |

SS
Seq

CCCCCCCCCCCCCCCCSSSSCCCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHCCCCHHHHHCCCCCCCCHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCC
MGEEGGSASHDEEERASVLLGHSPGCEMCSQEAFQAQRSQLVELLVSGSLEGFESVLDWLLSWEVLSWEDYEGFHLLGQPLSHLARRLLDTVWNKGTWACQKLIAAAQEAQADSQSPKLHGCWDPHS

4dwnA

0.15

0.11

3.71

1.00

DEthreader

--------------------------DQTYCDRLVQDTPFLTGH-GRLSEQQVDRIILQLNRYQILTNKEAEKFRNPKASLRVRL-DLLSHLQRSGERDCQEFYRALYIHAQ--PLSRLPSRH----

4uz0A

0.33

0.22

6.63

1.32

SPARKS-K

--------------------------QERPSETIDRER-RLVETLQ----ADSGLLLDALLARGVLTGPEYEALDALP-DAERRVRRLLLLVQGKGEAACQELLRCAQRTAGAWDWQH---------

4uz0A

0.35

0.22

6.58

1.00

MapAlign

---------------------------ERPSETIDRER-RLVETLQ----ADSGLLLDALLARGVLTGPEYEALDAL-PDAERRVRRLLLLVQGKGEAACQELLRCAQRTAGA--------------

2lwdA

0.10

0.07

2.65

0.85

CEthreader

---------------------KKIEKLEEYRLLLKRLQPEFKTRI------IPTDIISDLSE--CLINQECEEILQICKGMMAGAEKLVECLLRSDENWPKTLKLALEKERN-----KFSELWIVEK

2l9mA

0.18

0.17

5.39

1.00

MUSTER

-GSHMLNAEDEKREEEKEKQA--EEMASDDLSLIRKNRMALFQQ-----LTCVLPILDNLLKANVINKQEHDIIKQK-TQIPLQARELIDTILVKGNAAANIFKNCLKEIDSTLYK-NLFVDKNMKY

2n7zA

0.22

0.17

5.22

2.07

HHsearch

---------------------------GIAQQWIQSKREDIVNQMTEAC---LNQSLDALLSRDLIMKEDYELVSTK-PTRTSKVRQLLDTTDIQGEEFAKVIVQKLKDNKQMQPYPEILVVSRSPS

2dbdA

0.22

0.16

4.98

1.13

FFAS-3D

--------------------GSSGSSGHPHIQLLKSNRELLVTHI-----RNTQCLVDNLLKNDYFSAEDAEIVCAC-PTQPDKVRKILDLVQSKGEEVSEFFLYLLQQLAD--AYVDLRP------

2l9mA

0.16

0.14

4.72

1.02

EigenThreader

NAEDEKREEE--------KEKQAEEMASDDLSLIRKNRMALFQQL-----TCVLPILDNLLKANVINKQEHDIIKQK-TQIPLQARELIDTILVKGNAAANIFKNCLKEIDSTLYKNLFVDKNMKYI

4uz0A

0.34

0.22

6.60

0.78

CNFpred

--------------------------QERPSETIDRERMRLVETLQA----DSGLLLDALLARGVLTGPEYEALDAL-PDAERRVRRLLLLVQGKGEAACQELLRCAQRTAGA--------------

2dbdA

0.19

0.13

4.33

1.00

DEthreader

--------------------------GHPHIQLLKSNRELLVTHIR-----NTQCLVDNLLKNDYFSAEDAEIVCA-CPTQPDKVRKILDLVQSKGEEVSEFFLYLLQQLADAYVLRPWLEIG----

(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	0.7046

(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	2dbdA	0.64	2.03	0.168	0.724	model1_2dbdA.pdb.gz
2	4dwnA	0.63	2.31	0.149	0.740	model1_4dwnA.pdb.gz
3	1dgnA	0.62	1.71	0.273	0.693	model1_1dgnA.pdb.gz
4	4uz0A	0.61	2.10	0.326	0.669	model1_4uz0A.pdb.gz
5	6n1iA	0.60	1.47	0.167	0.661	model1_6n1iA.pdb.gz
6	6k9fA	0.59	2.06	0.221	0.677	model1_6k9fA.pdb.gz
7	2n7zA	0.59	2.33	0.217	0.717	model1_2n7zA.pdb.gz
8	3t6pA3	0.59	2.50	0.189	0.717	model1_3t6pA3.pdb.gz
9	1z6tB1	0.58	2.48	0.110	0.701	model1_1z6tB1.pdb.gz
10	4i16A	0.58	2.26	0.136	0.685	model1_4i16A.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:0097367	0.78	carbohydrate derivative binding
GO:0032500	0.76	muramyl dipeptide binding
GO:0050700	0.64	CARD domain binding
GO:0019899	0.54	enzyme binding
GO:0019900	0.53	kinase binding
GO:0005539	0.53	glycosaminoglycan binding
GO:0042834	0.52	peptidoglycan binding
GO:0019901	0.52	protein kinase 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:0050896	0.95	response to stimulus
GO:0050789	0.95	regulation of biological process
GO:0050794	0.94	regulation of cellular process
GO:0048518	0.89	positive regulation of biological process
GO:0048522	0.88	positive regulation of cellular process
GO:0010033	0.87	response to organic substance
GO:0032495	0.86	response to muramyl dipeptide
GO:0048583	0.84	regulation of response to stimulus
GO:0009987	0.84	cellular process
GO:0048584	0.79	positive regulation of response to stimulus
GO:0051716	0.78	cellular response to stimulus
GO:0050778	0.78	positive regulation of immune response
GO:0071310	0.77	cellular response to organic substance
GO:0006950	0.71	response to stress
GO:0006952	0.70	defense response
GO:0051239	0.68	regulation of multicellular organismal process
GO:0001817	0.67	regulation of cytokine production
GO:0001819	0.66	positive regulation of cytokine production
GO:0009605	0.65	response to external stimulus
GO:0002376	0.65	immune system process
GO:0031323	0.64	regulation of cellular metabolic process
GO:0007165	0.64	signal transduction
GO:0080090	0.63	regulation of primary metabolic process
GO:0060255	0.63	regulation of macromolecule metabolic process
GO:0009893	0.63	positive regulation of metabolic process
GO:0031325	0.62	positive regulation of cellular metabolic process
GO:0010604	0.62	positive regulation of macromolecule metabolic process
GO:0009889	0.62	regulation of biosynthetic process
GO:0006955	0.62	immune response
GO:0065009	0.61	regulation of molecular function
GO:0045893	0.61	positive regulation of transcription, DNA-templated
GO:0045087	0.61	innate immune response
GO:0035556	0.61	intracellular signal transduction
GO:0002221	0.61	pattern recognition receptor signaling pathway
GO:0071225	0.60	cellular response to muramyl dipeptide
GO:0070431	0.60	nucleotide-binding oligomerization domain containing 2 signaling pathway
GO:0051092	0.60	positive regulation of NF-kappaB transcription factor activity
GO:0045944	0.60	positive regulation of transcription 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:0005737	1.00	cytoplasm
GO:0043226	0.78	organelle
GO:0043229	0.77	intracellular organelle
GO:0043227	0.77	membrane-bounded organelle
GO:0032991	0.75	macromolecular complex
GO:0043234	0.74	protein complex
GO:0043232	0.73	intracellular non-membrane-bounded organelle
GO:0031982	0.73	vesicle
GO:0005856	0.72	cytoskeleton
GO:0044444	0.63	cytoplasmic part
GO:0016020	0.56	membrane
GO:0044446	0.53	intracellular organelle part
GO:0005829	0.52	cytosol
GO:0005886	0.50	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	2qhfA	0.507	4.53	0.048	0.850	4.2.3.5	57
2	0.060	1htoA	0.467	4.67	0.136	0.795	6.3.1.2	NA
3	0.060	1ynnD	0.511	3.61	0.070	0.772	2.7.7.6	96,101,105
4	0.060	1tlbA	0.474	4.50	0.042	0.787	1.3.3.3	NA
5	0.060	1b8fA	0.468	4.32	0.049	0.803	4.3.1.3	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	0.03	2nsn0	0.589	2.06	0.185	0.653	0.68	III	complex1.pdb.gz	37,40,41,44,45,46,55,103,107,110
2	0.01	3dxjD	0.514	3.85	0.087	0.795	0.48	ZN	complex2.pdb.gz	93,95,100
3	0.01	2p9i3	0.282	5.02	0.052	0.520	0.51	III	complex3.pdb.gz	52,53,54,56
4	0.01	2onk2	0.290	5.31	0.035	0.575	0.69	III	complex4.pdb.gz	52,53,55,56,57,58,59,60,61,73,77

	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.