D-I-TASSER Q9C029-D1

D-I-TASSER results for Q9C029-D1

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

Input Sequence in FASTA format

>Q9C029 (113 residues)
MAAVGPRTGPGTGAEALALAAELQGEATCSICLELFREPVSVECGHSFCRACIGRCWERP
GAGSVGAATRAPPFPLPCPQCREPARPSQLRPNRQLAAVATLLRRFSLPAAAP

Predicted Secondary Structure

Sequence	20 40 60 80 100 \| \| \| \| \| MAAVGPRTGPGTGAEALALAAELQGEATCSICLELFREPVSVECGHSFCRACIGRCWERPGAGSVGAATRAPPFPLPCPQCREPARPSQLRPNRQLAAVATLLRRFSLPAAAP
Prediction	CCCCCCCCCCCCCCHHHHHHHHHHHHCSCHHHHHHCCCCSSCCCCCHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCSCCCCCCCCCHHHHHHHHHHHHHCCCCCCC
Confidence	98777777888742127999998981227403435269653589985889999999973023565555556787766999885636878985579999999999747898999
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 \| \| \| \| \| MAAVGPRTGPGTGAEALALAAELQGEATCSICLELFREPVSVECGHSFCRACIGRCWERPGAGSVGAATRAPPFPLPCPQCREPARPSQLRPNRQLAAVATLLRRFSLPAAAP
Prediction	65634566555444434521540473033304333143103144144002400441055555554444445574424123034416577144132034005304727466778
	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

                   |                   |                   |                   |                   |

SS
Seq

CCCCCCCCCCCCCCHHHHHHHHHHHHCSCHHHHHHCCCCSSCCCCCHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCSCCCCCCCCCHHHHHHHHHHHHHCCCCCCC
MAAVGPRTGPGTGAEALALAAELQGEATCSICLELFREPVSVECGHSFCRACIGRCWERPGAGSVGAATRAPPFPLPCPQCREPARPSQLRPNRQLAAVATLLRRFSLPAAAP

4epoG

0.27

0.21

6.51

1.17

DEthreader

------KKMQAQKEEVLSHMNDVLEELQCIICSEYFIEAVTLNCAHSFCSYCINEWMKRK---------------IECPICRKDI----LVLDNCINKMVNNLSSEVKERRVL

6yxeA

0.25

0.19

6.04

2.09

SPARKS-K

---------SITHLPSKVVIQDITMELHCPLCNDWFRDPLMLSCGHNFCEACIQDFWRLQAKET------------FCPECKMLCQYNNCTFNPVLDKLVEKIKKLPLLK---

7bbdB

0.43

0.32

9.34

0.84

MapAlign

---------RLRAAMAAARLTMMWEEVTCPICLDPFVEPVSIECGHSFCQECISQVG--------------KGGGSVCPVCRQRFLLKNLRPNRQLANMVNNLKEI-------

7bbdB

0.37

0.31

9.20

0.62

CEthreader

ESTLHLVLRLRAAMASAARLTMMWEEVTCPICLDPFVEPVSIECGHSFCQECISQVG--------------KGGGSVCPVCRQRFLLKNLRPNRQLANMVNNLKEISQE----

1jm7A

0.24

0.20

6.35

1.66

MUSTER

-----MDLSALRVEEVQNVINAMQKILECPICLELIKEPVSTKCDHIFCKFCMLKLLNQKK------------GPSQCPLCKNDITKRSLQESTRFSQLVEELLKIICAFQLD

1wgmA

0.21

0.18

5.61

1.29

HHsearch

----GSSGSSGLQQQEEETYADACDEFLDPIMSTLMCDPVVLPSRVTVDRSTIARHLLSD---------------QTDPFNRSPLTMDQIRPNTELKEKIQRWLAERKQQSGP

6yxeA

0.25

0.19

6.04

1.51

FFAS-3D

---------SITHLPSKVVIQDITMELHCPLCNDWFRDPLMLSCGHNFCEACIQDFWRLQA------------KETFCPECKMLCQYNNCTFNPVLDKLVEKIKKLPLLK---

1wgmA

0.21

0.18

5.61

1.00

EigenThreader

-GSSGSSGLQQQEEE---TYADACDEFLDPIMSTLMCDPVVLPSSVTVDRSTIARHL---------------LSDQTDPFNRSPLTMDQIRPNTELKEKIQRWLAERKQQSGP

1z6uA

0.26

0.19

5.73

1.78

CNFpred

-----------------NFLKKLEQSFMCVCCQELVYQPVTTECFHNVCKDCLQRSFKA--------------QVFSCPACRHDLGQNIMIPNEILQTLLDLFFPGYSKGR--

5olmA

0.42

0.32

9.36

1.00

DEthreader

-----G-S---HMAS-AARLTMMWEEVTCPICLDPFVEPVSIECGHSFCQECISQVGK-----------------SVCPVCRQRFLLKNLRPNRQLANMVNNLKEISGERLHA

(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	0.7609

(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	1jm7A	0.69	2.07	0.245	0.823	model1_1jm7A.pdb.gz
2	2y43A	0.68	1.77	0.218	0.752	model1_2y43A.pdb.gz
3	7jzvA	0.67	2.20	0.250	0.814	model1_7jzvA.pdb.gz
4	7bbdB	0.67	1.72	0.368	0.743	model1_7bbdB.pdb.gz
5	5olmA	0.65	1.84	0.419	0.735	model1_5olmA.pdb.gz
6	6yxeA	0.65	1.77	0.225	0.743	model1_6yxeA.pdb.gz
7	4epoG	0.64	1.76	0.255	0.726	model1_4epoG.pdb.gz
8	3lrqA	0.64	1.28	0.228	0.699	model1_3lrqA.pdb.gz
9	3fl2A	0.63	2.61	0.196	0.752	model1_3fl2A.pdb.gz
10	1jm7B	0.62	2.18	0.293	0.752	model1_1jm7B.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	0.90	catalytic activity
GO:0004842	0.88	ubiquitin-protein transferase activity
GO:0046872	0.81	metal ion binding
GO:0008270	0.80	zinc ion binding
GO:1901363	0.60	heterocyclic compound binding
GO:0097159	0.60	organic cyclic compound binding
GO:0061630	0.58	ubiquitin protein ligase activity
GO:0019899	0.53	enzyme binding
GO:0003676	0.53	nucleic acid binding
GO:0042802	0.50	identical protein 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	0.96	cellular process
GO:0065007	0.94	biological regulation
GO:0050789	0.94	regulation of biological process
GO:0050794	0.92	regulation of cellular process
GO:0008152	0.92	metabolic process
GO:0071704	0.91	organic substance metabolic process
GO:0044238	0.91	primary metabolic process
GO:0044237	0.91	cellular metabolic process
GO:0044260	0.90	cellular macromolecule metabolic process
GO:0060255	0.86	regulation of macromolecule metabolic process
GO:0019538	0.86	protein metabolic process
GO:0080090	0.85	regulation of primary metabolic process
GO:0031323	0.85	regulation of cellular metabolic process
GO:0048518	0.84	positive regulation of biological process
GO:0006464	0.83	cellular protein modification process
GO:0016567	0.81	protein ubiquitination
GO:0010468	0.80	regulation of gene expression
GO:0051252	0.79	regulation of RNA metabolic process
GO:0031326	0.79	regulation of cellular biosynthetic process
GO:0010556	0.79	regulation of macromolecule biosynthetic process
GO:0006355	0.78	regulation of transcription, DNA-templated
GO:0048522	0.73	positive regulation of cellular process
GO:0065009	0.72	regulation of molecular function
GO:0051090	0.71	regulation of sequence-specific DNA binding transcription factor activity
GO:0048519	0.71	negative regulation of biological process
GO:0044093	0.71	positive regulation of molecular function
GO:0051091	0.70	positive regulation of sequence-specific DNA binding transcription factor activity
GO:0048523	0.70	negative regulation of cellular process
GO:0051092	0.69	positive regulation of NF-kappaB transcription factor activity
GO:0050896	0.69	response to stimulus
GO:0044699	0.69	single-organism process
GO:0000209	0.69	protein polyubiquitination
GO:0051246	0.66	regulation of protein metabolic process
GO:0010604	0.66	positive regulation of macromolecule metabolic process
GO:0006950	0.66	response to stress
GO:0032268	0.65	regulation of cellular protein metabolic process
GO:0031325	0.65	positive regulation of cellular metabolic process
GO:0006807	0.64	nitrogen compound metabolic process
GO:0002376	0.64	immune system process
GO:0070534	0.63	protein K63-linked ubiquitination
GO:0051247	0.63	positive regulation of protein metabolic process
GO:0043900	0.63	regulation of multi-organism process
GO:0034641	0.63	cellular nitrogen compound metabolic process
GO:0048583	0.62	regulation of response to stimulus
GO:0032270	0.62	positive regulation of cellular protein metabolic process
GO:0006139	0.62	nucleobase-containing compound metabolic process
GO:0044763	0.61	single-organism cellular process
GO:0090304	0.60	nucleic acid metabolic process
GO:0016043	0.60	cellular component organization
GO:0031399	0.58	regulation of protein modification process
GO:1903900	0.57	regulation of viral life cycle
GO:0043933	0.57	macromolecular complex subunit organization
GO:0006952	0.57	defense response
GO:0048584	0.56	positive regulation of response to stimulus
GO:0009892	0.56	negative regulation of metabolic process
GO:0006259	0.56	DNA metabolic process
GO:1903901	0.55	negative regulation of viral life cycle
GO:0080134	0.55	regulation of response to stress
GO:0031401	0.55	positive regulation of protein modification process
GO:0031324	0.55	negative regulation of cellular metabolic process
GO:0010605	0.55	negative regulation of macromolecule metabolic process
GO:1902186	0.54	regulation of viral release from host cell
GO:0051716	0.54	cellular response to stimulus
GO:0046596	0.54	regulation of viral entry into host cell
GO:1902187	0.53	negative regulation of viral release from host cell
GO:0046597	0.53	negative regulation of viral entry into host cell
GO:0043207	0.53	response to external biotic stimulus
GO:0032502	0.53	developmental process
GO:0031327	0.53	negative regulation of cellular biosynthetic process
GO:0006974	0.53	cellular response to DNA damage stimulus
GO:0006325	0.53	chromatin organization
GO:0098542	0.52	defense response to other organism
GO:0044767	0.52	single-organism developmental process
GO:0009615	0.52	response to virus
GO:0006281	0.52	DNA repair
GO:0002252	0.52	immune effector process
GO:0071822	0.51	protein complex subunit organization
GO:0051607	0.51	defense response to virus
GO:0048856	0.50	anatomical structure development
GO:0045935	0.50	positive regulation of nucleobase-containing compound 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	1.00	cell part
GO:0044424	0.97	intracellular part
GO:0043226	0.73	organelle
GO:0043229	0.71	intracellular organelle
GO:0043227	0.59	membrane-bounded organelle
GO:0044422	0.56	organelle part
GO:0043231	0.56	intracellular membrane-bounded organelle
GO:0044446	0.55	intracellular organelle part
GO:0032991	0.55	macromolecular complex
GO:0044444	0.51	cytoplasmic 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	1z0zC	0.463	4.41	0.088	0.779	2.7.1.23	NA
2	0.060	2ix6A	0.447	5.02	0.066	0.814	1.3.3.6	NA
3	0.060	2gf2A	0.469	4.18	0.102	0.752	1.1.1.31	NA
4	0.060	2inrA	0.460	3.76	0.062	0.681	5.99.1.-	NA
5	0.060	1qlaD	0.434	4.79	0.065	0.832	1.3.99.1	98

	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	0.14	2c2v0	0.592	1.47	0.257	0.646	1.29	III	complex1.pdb.gz	26,43,45,47,91,92,93,94,95,96,98,99,102
2	0.06	1rmdA	0.575	2.45	0.266	0.699	0.84	ZN	complex2.pdb.gz	42,44,78,81
3	0.04	1rmd0	0.575	2.45	0.266	0.699	0.88	III	complex3.pdb.gz	25,26,30,45,46,47,99

	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.