D-I-TASSER Q9NYJ7

D-I-TASSER results for Q9NYJ7

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

Summary of the Protein

Uniprot ID: Q9NYJ7
Protein Name: Delta-like protein 3
Gene Name: DLL3

Input Sequence in FASTA format

>Q9NYJ7 (618 residues)
MVSPRMSGLLSQTVILALIFLPQTRPAGVFELQIHSFGPGPGPGAPRSPCSARLPCRLFF
RVCLKPGLSEEAAESPCALGAALSARGPVYTEQPGAPAPDLPLPDGLLQVPFRDAWPGTF
SFIIETWREELGDQIGGPAWSLLARVAGRRRLAAGGPWARDIQRAGAWELRFSYRARCEP
PAVGTACTRLCRPRSAPSRCGPGLRPCAPLEDECEAPLVCRAGCSPEHGFCEQPGECRCL
EGWTGPLCTVPVSTSSCLSPRGPSSATTGCLVPGPGPCDGNPCANGGSCSETPRSFECTC
PRGFYGLRCEVSGVTCADGPCFNGGLCVGGADPDSAYICHCPPGFQGSNCEKRVDRCSLQ
PCRNGGLCLDLGHALRCRCRAGFAGPRCEHDLDDCAGRACANGGTCVEGGGAHRCSCALG
FGGRDCRERADPCAARPCAHGGRCYAHFSGLVCACAPGYMGARCEFPVHPDGASALPAAP
PGLRPGDPQRYLLPPALGLLVAAGVAGAALLLVHVRRRGHSQDAGSRLLAGTPEPSVHAL
PDALNNLRTQEGSGDGPSSSVDWNRPEDVDPQGIYVISAPSIYAREVATPLFPPLHTGRA
GQRQHLLFPYPSSILSVK

Predicted Contact and Distance Map Used in D-I-TASSER simulation

Contact Map

Distance Map

D-I-TASSER simulation is guided by the consensus contact map (left figure) and distance map (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.

Information of Domain

No. of Domain	Domain	Domain Boundary	Length of Domain	Models of Domain	Sequence
1	Q9NYJ7-D1	1-177	177		MVSPRMSGLLSQTVILALIFLPQTRPAGVFELQIHSFGPGPGPGAPRSPCSARLPCRLFFRVCLKPGLSEEAAESPCALGAALSARGPVYTEQPGAPAPDLPLPDGLLQVPFRDAWPGTFSFIIETWREELGDQIGGPAWSLLARVAGRRRLAAGGPWARDIQRAGAWELRFSYRAR
2	Q9NYJ7-D2	178-264	87		CEPPAVGTACTRLCRPRSAPSRCGPGLRPCAPLEDECEAPLVCRAGCSPEHGFCEQPGECRCLEGWTGPLCTVPVSTSSCLSPRGPS
3	Q9NYJ7-D3	265-491	227		SATTGCLVPGPGPCDGNPCANGGSCSETPRSFECTCPRGFYGLRCEVSGVTCADGPCFNGGLCVGGADPDSAYICHCPPGFQGSNCEKRVDRCSLQPCRNGGLCLDLGHALRCRCRAGFAGPRCEHDLDDCAGRACANGGTCVEGGGAHRCSCALGFGGRDCRERADPCAARPCAHGGRCYAHFSGLVCACAPGYMGARCEFPVHPDGASALPAAPPGLRPGDPQRY
4	Q9NYJ7-D4	492-618	127		LLPPALGLLVAAGVAGAALLLVHVRRRGHSQDAGSRLLAGTPEPSVHALPDALNNLRTQEGSGDGPSSSVDWNRPEDVDPQGIYVISAPSIYAREVATPLFPPLHTGRAGQRQHLLFPYPSSILSVK

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.46

(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	5jcss	0.38	8.24	0.031	0.631	model1_5jcss.pdb.gz
2	6g7eB	0.37	7.97	0.042	0.612	model1_6g7eB.pdb.gz
3	3qmzA	0.37	7.97	0.037	0.602	model1_3qmzA.pdb.gz
4	5mw5A	0.36	3.28	0.248	0.395	model1_5mw5A.pdb.gz
5	6reyc	0.36	8.00	0.043	0.586	model1_6reyc.pdb.gz
6	4cbzA	0.35	3.34	0.224	0.390	model1_4cbzA.pdb.gz
7	6z2wE	0.35	8.04	0.041	0.576	model1_6z2wE.pdb.gz
8	6h3iA	0.35	7.83	0.031	0.570	model1_6h3iA.pdb.gz
9	4i43B	0.35	8.33	0.044	0.592	model1_4i43B.pdb.gz
10	4xbmB	0.35	3.53	0.205	0.392	model1_4xbmB.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:0005102	0.49	receptor binding
GO:0097367	0.32	carbohydrate derivative 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	0.86	single-organism process
GO:0065007	0.80	biological regulation
GO:0009987	0.78	cellular process
GO:0032502	0.76	developmental process
GO:0050789	0.75	regulation of biological process
GO:0050794	0.72	regulation of cellular process
GO:0044763	0.72	single-organism cellular process
GO:0044767	0.63	single-organism developmental process
GO:0048856	0.51	anatomical structure development

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	0.83	cell part
GO:0044424	0.69	intracellular part
GO:0044421	0.54	extracellular region part
GO:0043226	0.46	organelle
GO:0043227	0.44	membrane-bounded organelle
GO:0031012	0.40	extracellular matrix
GO:0043229	0.38	intracellular organelle
GO:0044425	0.37	membrane part
GO:0016020	0.37	membrane
GO:0043231	0.35	intracellular membrane-bounded organelle
GO:0044444	0.33	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	2vdcF	0.260	8.13	0.024	0.435	1.4.1.13	NA
2	0.060	3b9jJ	0.148	6.28	0.064	0.210	1.17.1.4 1.17.3.2	121
3	0.060	2hr7A	0.177	7.51	0.035	0.278	2.7.10.1	152,175
4	0.060	1qhaA	0.247	8.63	0.046	0.432	2.7.1.1	NA
5	0.060	2hg4C	0.241	8.27	0.041	0.406	2.3.1.94	113,118

	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	0.01	2uvaG	0.263	7.88	0.019	0.429	0.12	FMN	complex1.pdb.gz	153,154,176,177
2	0.01	1w9c0	0.123	6.44	0.033	0.175	0.14	III	complex2.pdb.gz	12,13,128
3	0.01	3cmvE	0.233	8.29	0.055	0.390	0.28	ANP	complex3.pdb.gz	76,77,78,79,120,148
4	0.01	3cmvE	0.233	8.29	0.055	0.390	0.14	ANP	complex4.pdb.gz	121,122,161,162
5	0.01	3cmvA	0.214	7.92	0.029	0.349	0.11	ANP	complex5.pdb.gz	118,119,174
6	0.01	2uv8G	0.296	7.94	0.029	0.481	0.13	FMN	complex6.pdb.gz	148,151,152,175
7	0.01	3cmvD	0.259	7.89	0.055	0.424	0.19	ANP	complex7.pdb.gz	76,77,78,79,80,117,120
8	0.01	3cmvF	0.260	7.72	0.049	0.417	0.14	ANP	complex8.pdb.gz	77,78,80,117,175
9	0.01	3cmvF	0.260	7.72	0.049	0.417	0.14	ANP	complex9.pdb.gz	27,28,29

	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.