D-I-TASSER Q96FI4

D-I-TASSER results for Q96FI4

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

Summary of the Protein

Uniprot ID: Q96FI4
Protein Name: Endonuclease 8-like 1
Gene Name: NEIL1

Input Sequence in FASTA format

>Q96FI4 (390 residues)
MPEGPELHLASQFVNEACRALVFGGCVEKSSVSRNPEVPFESSAYRISASARGKELRLIL
SPLPGAQPQQEPLALVFRFGMSGSFQLVPREELPRHAHLRFYTAPPGPRLALCFVDIRRF
GRWDLGGKWQPGRGPCVLQEYQQFRENVLRNLADKAFDRPICEALLDQRFFNGIGNYLRA
EILYRLKIPPFEKARSVLEALQQHRPSPELTLSQKIRTKLQNPDLLELCHSVPKEVVQLG
GKGYGSESGEEDFAAFRAWLRCYGMPGMSSLQDRHGRTIWFQGDPGPLAPKGRKSRKKKS
KATQLSPEDRVEDALPPSKAPSRTRRAKRDLPKRTATQRPEGTSLQQDPEAPTVPKKGRR
KGRQAASGHCRPRKVKADIPSLEPEGTSAS

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 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.

Information of Domain

No. of Domain	Domain	Domain Boundary	Length of Domain	Models of Domain	Sequence
1	Q96FI4-D1	1-390	390		MPEGPELHLASQFVNEACRALVFGGCVEKSSVSRNPEVPFESSAYRISASARGKELRLILSPLPGAQPQQEPLALVFRFGMSGSFQLVPREELPRHAHLRFYTAPPGPRLALCFVDIRRFGRWDLGGKWQPGRGPCVLQEYQQFRENVLRNLADKAFDRPICEALLDQRFFNGIGNYLRAEILYRLKIPPFEKARSVLEALQQHRPSPELTLSQKIRTKLQNPDLLELCHSVPKEVVQLGGKGYGSESGEEDFAAFRAWLRCYGMPGMSSLQDRHGRTIWFQGDPGPLAPKGRKSRKKKSKATQLSPEDRVEDALPPSKAPSRTRRAKRDLPKRTATQRPEGTSLQQDPEAPTVPKKGRRKGRQAASGHCRPRKVKADIPSLEPEGTSAS

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.6144

(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	1tdhA	0.72	0.72	0.993	0.728	model1_1tdhA.pdb.gz
2	3gpyA	0.57	2.40	0.218	0.621	model1_3gpyA.pdb.gz
3	6fl1A	0.56	2.75	0.208	0.626	model1_6fl1A.pdb.gz
4	3a46A	0.56	3.12	0.212	0.633	model1_3a46A.pdb.gz
5	1k82A	0.56	2.53	0.237	0.613	model1_1k82A.pdb.gz
6	3twkA	0.56	2.81	0.257	0.621	model1_3twkA.pdb.gz
7	1ee8A	0.56	2.74	0.263	0.621	model1_1ee8A.pdb.gz
8	4mb7A	0.54	3.19	0.152	0.623	model1_4mb7A.pdb.gz
9	3w0fA	0.52	3.31	0.213	0.603	model1_3w0fA.pdb.gz
10	1q3bA	0.36	5.58	0.081	0.528	model1_1q3bA.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	0.97	catalytic activity
GO:0016798	0.96	hydrolase activity, acting on glycosyl bonds
GO:0019104	0.95	DNA N-glycosylase activity
GO:0016829	0.83	lyase activity
GO:0008022	0.79	protein C-terminus binding
GO:0016788	0.54	hydrolase activity, acting on ester bonds
GO:0004518	0.53	nuclease activity
GO:0004536	0.50	deoxyribonuclease 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:0006259	1.00	DNA metabolic process
GO:0006281	0.96	DNA repair
GO:0006979	0.90	response to oxidative stress
GO:0065007	0.88	biological regulation
GO:0006284	0.88	base-excision repair
GO:0050794	0.87	regulation of cellular process
GO:0080090	0.85	regulation of primary metabolic process
GO:0060255	0.85	regulation of macromolecule metabolic process
GO:0051171	0.85	regulation of nitrogen compound metabolic process
GO:0031323	0.85	regulation of cellular metabolic process
GO:0048523	0.84	negative regulation of cellular process
GO:0019219	0.84	regulation of nucleobase-containing compound metabolic process
GO:0032074	0.83	negative regulation of nuclease activity
GO:0044699	0.60	single-organism process
GO:0044710	0.56	single-organism metabolic process
GO:0044281	0.55	small molecule metabolic process
GO:0044763	0.54	single-organism cellular process
GO:0009056	0.54	catabolic process
GO:0043412	0.53	macromolecule modification
GO:0034655	0.53	nucleobase-containing compound catabolic process
GO:0006796	0.53	phosphate-containing compound metabolic process
GO:0045008	0.52	depyrimidination

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	0.96	intracellular organelle
GO:0005634	0.91	nucleus
GO:0005737	0.90	cytoplasm
GO:0044446	0.79	intracellular organelle part
GO:0044428	0.71	nuclear part
GO:0005654	0.64	nucleoplasm

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	0.297	1tdhA	0.721	0.72	0.993	0.728	4.2.99.18	3,6,8,51,54,78,80,82,84,133,136,138,168,177,237,244
2	0.100	1k82A	0.561	2.53	0.237	0.613	3.2.2.23	5,6,54
3	0.097	1ee8A	0.557	2.74	0.263	0.621	3.2.2.23	2,3,54
4	0.095	1pm5A	0.564	2.96	0.202	0.631	3.2.2.23	5,6,54
5	0.075	3a45A	0.558	3.15	0.212	0.633	3.2.2.23	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	0.39	1k82A	0.561	2.53	0.237	0.613	1.26	UUU	complex1.pdb.gz	2,3,54,78,80,81,118,120,168,175,176,177,263,277,278
2	0.06	1l2bA	0.557	2.55	0.226	0.610	1.24	QNA	complex2.pdb.gz	3,54,78,80,81,120,175,176,277
3	0.04	3jr4A	0.559	2.39	0.224	0.608	1.19	UUU	complex3.pdb.gz	3,54,78,80,81,82,118,120,168,175,176,177,263,270,277,278

	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.