D-I-TASSER Q8NBH2

D-I-TASSER results for Q8NBH2

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

Summary of the Protein

Uniprot ID: Q8NBH2
Protein Name: Kyphoscoliosis peptidase
Gene Name: KY

Input Sequence in FASTA format

>Q8NBH2 (561 residues)
MELKKDINAVSIDMLLIVHSEKRRAAQGTLSDQQANPSSLLQRGGGFQGVGNGVRRWQKL
EGNDFHENLVEKQHPQQPQVITSYNSQGTQLTVEVHPRDAMPQLLKKFSLAKRLQGDKNG
NTRPRQPGGKDAHAYPWDRSSLKSMSLDLQQFEKLDIYASQVTAKSGLDELVSDLLQEAH
TDLERVRAIWIWICHHIEYDIAAAQEKDRQAFKPTDILRTQKTNCDGYAGLFERMCRLAG
VQCMTVPGYSKGFGYQTGQSFSGEFDHAWNAVYLEGRWHLVDSTWGSGLVDTITSKFTFL
YNEFYFLTHPALFIEDHFPDNKNWQLLKPPQSLRQFENNMYHKSEFYNKGMLSAHPETSM
IRTVNGKATVTIESCAPTLFMFMLNGKQEHGLLSLRKNGMKLEVYPPTMGTHKLQIFAKG
NSDIYSSVLEYTLKCNYVDMGVQLPAELHQPVGPSWFSEQMGIMKPSHPDPIIHTSDGRC
SISFSVEEGINVLASLHGDDGPITEETQRRYIFQLHREKQTELKVQLPHAGKFALKIYVM
VLENANHNFYSYILKYKVNAQ

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	Q8NBH2-D1	1-91	91		MELKKDINAVSIDMLLIVHSEKRRAAQGTLSDQQANPSSLLQRGGGFQGVGNGVRRWQKLEGNDFHENLVEKQHPQQPQVITSYNSQGTQL
2	Q8NBH2-D2	92-339	248		TVEVHPRDAMPQLLKKFSLAKRLQGDKNGNTRPRQPGGKDAHAYPWDRSSLKSMSLDLQQFEKLDIYASQVTAKSGLDELVSDLLQEAHTDLERVRAIWIWICHHIEYDIAAAQEKDRQAFKPTDILRTQKTNCDGYAGLFERMCRLAGVQCMTVPGYSKGFGYQTGQSFSGEFDHAWNAVYLEGRWHLVDSTWGSGLVDTITSKFTFLYNEFYFLTHPALFIEDHFPDNKNWQLLKPPQSLRQFENN
3	Q8NBH2-D3	340-445	106		MYHKSEFYNKGMLSAHPETSMIRTVNGKATVTIESCAPTLFMFMLNGKQEHGLLSLRKNGMKLEVYPPTMGTHKLQIFAKGNSDIYSSVLEYTLKCNYVDMGVQLP
4	Q8NBH2-D4	446-561	116		AELHQPVGPSWFSEQMGIMKPSHPDPIIHTSDGRCSISFSVEEGINVLASLHGDDGPITEETQRRYIFQLHREKQTELKVQLPHAGKFALKIYVMVLENANHNFYSYILKYKVNAQ

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.53

(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	6fb3A	0.39	7.84	0.046	0.647	model1_6fb3A.pdb.gz
2	6w2jA	0.39	7.98	0.050	0.647	model1_6w2jA.pdb.gz
3	4xqkA	0.38	7.74	0.037	0.619	model1_4xqkA.pdb.gz
4	5cskA	0.37	7.46	0.041	0.588	model1_5cskA.pdb.gz
5	6q2fA	0.37	8.02	0.031	0.626	model1_6q2fA.pdb.gz
6	7jtkA	0.36	7.69	0.055	0.599	model1_7jtkA.pdb.gz
7	5u89A	0.36	7.49	0.055	0.583	model1_5u89A.pdb.gz
8	5a22A	0.36	8.03	0.017	0.611	model1_5a22A.pdb.gz
9	7by5A	0.36	7.90	0.057	0.588	model1_7by5A.pdb.gz
10	3va7A	0.36	7.72	0.045	0.572	model1_3va7A.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:1901363	0.73	heterocyclic compound binding
GO:0097159	0.73	organic cyclic compound binding
GO:0003824	0.72	catalytic activity
GO:0035639	0.63	purine ribonucleoside triphosphate binding
GO:0032555	0.63	purine ribonucleotide binding
GO:0032550	0.63	purine ribonucleoside binding
GO:0032559	0.54	adenyl ribonucleotide 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	0.98	single-organism process
GO:0009987	0.90	cellular process
GO:0044763	0.82	single-organism cellular process
GO:0044767	0.78	single-organism developmental process
GO:0048856	0.73	anatomical structure development
GO:0016043	0.66	cellular component organization
GO:0061061	0.65	muscle structure development
GO:0007528	0.52	neuromuscular junction development
GO:0007517	0.52	muscle organ development
GO:0065007	0.50	biological regulation

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	0.94	intracellular part
GO:0044444	0.87	cytoplasmic part
GO:0044422	0.73	organelle part
GO:0044449	0.70	contractile fiber part
GO:0030018	0.63	Z disc
GO:0043227	0.54	membrane-bounded organelle

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	1pj6A	0.328	7.62	0.042	0.533	1.5.3.10	NA
2	0.060	2zxqA	0.329	8.17	0.042	0.572	3.2.1.97	NA
3	0.060	2vkzG	0.351	7.98	0.047	0.590	2.3.1.38 3.1.2.14	NA
4	0.060	1bf2A	0.335	7.87	0.039	0.560	3.2.1.68	NA
5	0.060	3cf4A	0.320	7.51	0.049	0.504	1.2.99.2	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	0.01	3cmvB	0.317	7.52	0.054	0.503	0.18	ANP	complex1.pdb.gz	252,253,290
2	0.01	3cmvG	0.307	7.59	0.050	0.492	0.19	ANP	complex2.pdb.gz	249,250,251,282
3	0.01	3cmvA	0.317	7.67	0.047	0.520	0.21	ANP	complex3.pdb.gz	223,224,227,228,229
4	0.01	3cmvD	0.319	7.46	0.046	0.503	0.21	ANP	complex4.pdb.gz	201,204,225,226
5	0.01	3cmvA	0.317	7.67	0.047	0.520	0.17	ANP	complex5.pdb.gz	225,227,229
6	0.01	3cmvD	0.319	7.46	0.046	0.503	0.19	ANP	complex6.pdb.gz	201,224,225,226
7	0.01	3cmtD	0.325	7.97	0.044	0.544	0.14	ALF	complex7.pdb.gz	248,249,251
8	0.01	2x2iB	0.337	7.97	0.039	0.565	0.20	QPS	complex8.pdb.gz	248,249,282,285
9	0.01	2x2iC	0.359	7.65	0.049	0.583	0.20	QPS	complex9.pdb.gz	248,251,252
10	0.01	3cmvF	0.315	7.60	0.032	0.510	0.28	ANP	complex10.pdb.gz	252,253,347

	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.