D-I-TASSER P10827-D2

D-I-TASSER results for P10827-D2

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

Input Sequence in FASTA format

>P10827 (332 residues)
EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEF
TKIITPAITRVVDFAKKLPMFSELPCEDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSG
EMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLLCVDKI
EKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKEREVQSSILYKGAAAEGRPGGSLGVHPE
GQQLLGMHVVQGPQVRQLEQQLGEAGSLQGPVLQHQSPKSPQQRLLELLHRSGILHARAV
CGEDDSSEADSPSSSEEEPEVCEDLAGNAASP

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELPCEDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLLCVDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKEREVQSSILYKGAAAEGRPGGSLGVHPEGQQLLGMHVVQGPQVRQLEQQLGEAGSLQGPVLQHQSPKSPQQRLLELLHRSGILHARAVCGEDDSSEADSPSSSEEEPEVCEDLAGNAASP
Prediction	CCCHHHHHHHHHHHHHHHHHCCCHHHHHHCCCCCCCHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSCCCCCCCHHHHHHHCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCC
Confidence	98889999999999999986787276652135798412136777899964116789999999999999999999960983332788899999999999999999999946789927754883115889876332899999999999999838999999999999995367767678999999999999999999999699940399999999799999999999999987426999991599999987405787553222445455677876567899993245543123456544566788877677789988777626888612667899
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELPCEDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLLCVDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKEREVQSSILYKGAAAEGRPGGSLGVHPEGQQLLGMHVVQGPQVRQLEQQLGEAGSLQGPVLQHQSPKSPQQRLLELLHRSGILHARAVCGEDDSSEADSPSSSEEEPEVCEDLAGNAASP
Prediction	84475245004301500362144144244434331451333323433435423331032003001410220030022000032123400110011000000000000000145220000232203242043310220021024004203605034300000000000123244153362035005201400330046324534410130022023013103421320221356415031002200321235146355366434545446434344534633454235234544134442434443435454545455335105524555568
	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                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320

                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |

SS
Seq

CCCHHHHHHHHHHHHHHHHHCCCHHHHHHCCCCCCCHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSCCCCCCCHHHHHHHCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCC
EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELPCEDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLLCVDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKEREVQSSILYKGAAAEGRPGGSLGVHPEGQQLLGMHVVQGPQVRQLEQQLGEAGSLQGPVLQHQSPKSPQQRLLELLHRSGILHARAVCGEDDSSEADSPSSSEEEPEVCEDLAGNAASP

1pq6B

0.23

0.17

5.27

1.00

DEthreader

-LTAAQELMIQQLVAAQLQCNK---RSFSDQPKVTP-WP-LGADPQS--RDARQQRFAHFTELAIISVQEIVDFAKQVPGFLQLGREDQIALLKASTIEIMLLETARRYNHETECITFLKDFTYSKDDFHRGLQVEFINPIFEFSRAMRRLGLDDAEYALLIAINIFSADRPNVQEPGRVEALQQPYVEALLSYTRIKRPQDQLRFPRMLMKLVSLRTLSSVHSEQVFALRLQD---KKL--PPLLSEI-------------------DV-H------------------------------------------------------------

2h79A

0.88

0.64

18.14

1.94

SPARKS-K

EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELP-EDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLL-VDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKVTDLRMIGA-------HASRFLHKVEPTLFPPLFLEVFEDQ-------------------------------------------------------------------------------

2h79A

0.87

0.64

17.98

1.18

MapAlign

EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELP-EDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLL-VDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKVTDLRMIG--AHASRFL-----------------------------------------HKVEPTELFPPLFLEVFEDQ------------------------------------------

2h79A

0.87

0.64

17.98

0.72

CEthreader

EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELP-EDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLL-VDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKVTDLRMIGA-HASRFLHKVEPTELFP-----PLFLEVFEDQ-------------------------------------------------------------------------------

2h79A

0.87

0.64

18.06

1.58

MUSTER

EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELP-EDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLL-VDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKVTDLRMIGAHASRFLHKVE------PTELFPPLFLEVFEDQ-------------------------------------------------------------------------------

2h79A

0.88

0.65

18.22

2.29

HHsearch

EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELP-EDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLL-VDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKVTDLR-MIGAHASRFLH------KVETELFPPLFLEVFEDQ-------------------------------------------------------------------------------

1pq6B

0.25

0.18

5.52

1.88

FFAS-3D

-LTAAQELMIQQLVAAQLQCNKRSFSDQP-------KVTPWPLGADPQSRDARQQRFAHFTELAIISVQEIVDFAKQVPGFLQLGREDQIALLKASTIEIMLLETARRYNHETECITFLKDFTYSKDDFHRGLQVEFINPIFEFSRAMRRLGLDDAEYALLIAINIFSADRPNVQEPGRVEALQQPYVEALLSYTRIKRPQDQLRFPRMLMKLVSLRTLSSVHSEQVFALRLQDKKLPP-----LLSEIWD---------------------------------------------------------------------------------

1pq6B

0.24

0.17

5.44

1.37

EigenThreader

-LTAAQELMIQQLVAAQLQCNKRSFSDQPKV-------TPWPLGADPQSRDARQQRFAHFTELAIISVQEIVDFAKQVPGFLQLGREDQIALLKASTIEIMLLETARRYNHETECITFLKDFTYSDDFHRAGLQVEFINPIFEFSRAMRRLGLDDAEYALLIAINIFSADRPNVQEPGRVEALQQPYVEALLSYTRIKRPQDQLRFPRMLMKLVSLRTLSSVHSEQVFALRLQDKKL-----PPLLSEIWDVH-------------------------------------------------------------------------------

3hzfA

0.86

0.65

18.23

1.73

CNFpred

EPTPEEWDLIHIATEAHRSTNAQGSHWKQRRKFLPDDIGQSPIVSMPDGDKVDLEAFSEFTKIITPAITRVVDFAKKLPMFSELPMEDQIILLKGCCMEIMSLRAAVRYDPESDTLTLSGEMAVKREQLKNGGLGVVSDAIFELGKSLSAFNLDDTEVALLQAVLLMSTDRSGLLMVDKIEKSQEAYLLAFEHYVNHRKHNIPHFWPKLLMKVTDLR-MIGAMHASRFLHMKVEM--PTELFPPLFLEVFED--------------------------------------------------------------------------------

4nqaB

0.24

0.17

5.36

1.00

DEthreader

QLTAAQELMIQQLVAAQLQCNK--RSF-SDQ-PKVTPW--PLGAD-PQSRDARQQRFAHFTELAIISVQEIVDFAKQVPGFLQLGREDQIALLKASTIEIMLLETARRYNHETECITFLKDFTYSKDDFHRGLQVEFINPIFEFSRAMRRLGLDDAEYALLIAINIFSADRPNVQEPGRVEALQQPYVEALLSYTRIKRPQDQLRFPRMLMKLVSLRTLSSVHSEQVFALRLQD---KKL--PPLLSEI--------------------W-D------------------------------------------------------------

(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	0.7004

(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	2h79A	0.72	1.07	0.869	0.738	model1_2h79A.pdb.gz
2	1xdkB	0.67	1.99	0.294	0.717	model1_1xdkB.pdb.gz
3	1n83A	0.66	2.26	0.251	0.720	model1_1n83A.pdb.gz
4	3hvlB	0.66	2.75	0.191	0.732	model1_3hvlB.pdb.gz
5	1k4wA	0.66	2.14	0.235	0.717	model1_1k4wA.pdb.gz
6	3a40X	0.66	2.81	0.206	0.729	model1_3a40X.pdb.gz
7	6lx5A	0.65	2.55	0.197	0.717	model1_6lx5A.pdb.gz
8	6fzfA	0.65	2.60	0.210	0.717	model1_6fzfA.pdb.gz
9	4nqaB	0.65	2.40	0.243	0.699	model1_4nqaB.pdb.gz
10	1pq6B	0.65	2.54	0.242	0.705	model1_1pq6B.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	0.85	transcription factor activity, sequence-specific DNA binding
GO:0000981	0.74	RNA polymerase II transcription factor activity, sequence-specific DNA binding
GO:0004871	0.73	signal transducer activity
GO:0098531	0.70	transcription factor activity, direct ligand regulated sequence-specific DNA binding
GO:0097159	0.70	organic cyclic compound binding
GO:0004879	0.69	RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding
GO:1901363	0.65	heterocyclic compound binding
GO:0003676	0.63	nucleic acid binding
GO:0003677	0.61	DNA binding
GO:0004872	0.58	receptor activity
GO:0038023	0.55	signaling receptor 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	0.91	biological regulation
GO:0050789	0.90	regulation of biological process
GO:0050794	0.88	regulation of cellular process
GO:0019222	0.79	regulation of metabolic process
GO:0080090	0.77	regulation of primary metabolic process
GO:0060255	0.77	regulation of macromolecule metabolic process
GO:0031323	0.77	regulation of cellular metabolic process
GO:0010468	0.76	regulation of gene expression
GO:0010556	0.75	regulation of macromolecule biosynthetic process
GO:2000112	0.74	regulation of cellular macromolecule biosynthetic process
GO:0051171	0.74	regulation of nitrogen compound metabolic process
GO:0006355	0.73	regulation of transcription, DNA-templated
GO:0009987	0.70	cellular process
GO:0048518	0.68	positive regulation of biological process
GO:0044699	0.67	single-organism process
GO:0048522	0.65	positive regulation of cellular process
GO:0010604	0.61	positive regulation of macromolecule metabolic process
GO:0031325	0.59	positive regulation of cellular metabolic process
GO:0010628	0.59	positive regulation of gene expression
GO:0045935	0.58	positive regulation of nucleobase-containing compound metabolic process
GO:0031328	0.58	positive regulation of cellular biosynthetic process
GO:0010557	0.58	positive regulation of macromolecule biosynthetic process
GO:0045893	0.57	positive regulation of transcription, DNA-templated
GO:0008152	0.52	metabolic process
GO:0006357	0.50	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:0044424	1.00	intracellular part
GO:0043229	0.88	intracellular organelle
GO:0043231	0.87	intracellular membrane-bounded organelle
GO:0005634	0.85	nucleus
GO:0044446	0.63	intracellular organelle part
GO:0044428	0.56	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	0.127	1u3rA	0.604	2.61	0.159	0.672	2.3.1.48	NA
2	0.060	2iukA	0.392	6.60	0.051	0.663	1.13.11.12	196
3	0.060	1y8bA	0.383	6.54	0.037	0.654	2.3.3.9	NA
4	0.060	2v45A	0.387	6.26	0.059	0.621	1.7.99.4	NA
5	0.060	2cqsA	0.381	6.47	0.057	0.629	2.4.1.20	316

	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	0.90	3hzfA	0.724	1.50	0.863	0.750	1.56	B72	complex1.pdb.gz	57,60,61,64,67,98,101,104,118,119,132,133,134,224,246
2	0.72	1r6gA	0.673	1.14	0.716	0.690	1.56	442	complex2.pdb.gz	60,63,64,67,70,101,108,118,119,132,133,134,141,223,226,227,230,246
3	0.69	1bsxA	0.703	1.35	0.722	0.726	0.80	T3	complex3.pdb.gz	57,60,63,64,70,98,102,118,119,132,134
4	0.28	3m7rA	0.660	2.72	0.205	0.726	1.05	VDX	complex4.pdb.gz	21,57,60,63,64,67,101,104,105,108,116,129,134,137,223,246
5	0.06	3kmzA	0.631	1.73	0.326	0.666	1.28	III	complex5.pdb.gz	68,69,72,86,89,90,93,94,224,225,230,231

	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.