D-I-TASSER Q9UBU8

D-I-TASSER results for Q9UBU8

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

Summary of the Protein

Uniprot ID: Q9UBU8
Protein Name: Mortality factor 4-like protein 1
Gene Name: MORF4L1

Input Sequence in FASTA format

>Q9UBU8 (362 residues)
MAPKQDPKPKFQEGERVLCFHGPLLYEAKCVKVAIKDKQVKYFIHYSGWNKKSAVRPRRS
EKSLKTHEDIVALFPVPEGAPSVHHPLLTSSWDEWVPESRVLKYVDTNLQKQRELQKANQ
EQYAEGKMRGAAPGKKTSGLQQKNVEVKTKKNKQKTPGNGDGGSTSETPQPPRKKRARVD
PTVENEETFMNRVEVKVKIPEELKPWLVDDWDLITRQKQLFYLPAKKNVDSILEDYANYK
KSRGNTDNKEYAVNEVVAGIKEYFNVMLGTQLLYKFERPQYAEILADHPDAPMSQVYGAP
HLLRLFVRIGAMLAYTPLDEKSLALLLNYLHDFLKYLAKNSATLFSASDYEVAPPEYHRK
AV

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	Q9UBU8-D1	1-166	166		MAPKQDPKPKFQEGERVLCFHGPLLYEAKCVKVAIKDKQVKYFIHYSGWNKKSAVRPRRSEKSLKTHEDIVALFPVPEGAPSVHHPLLTSSWDEWVPESRVLKYVDTNLQKQRELQKANQEQYAEGKMRGAAPGKKTSGLQQKNVEVKTKKNKQKTPGNGDGGSTS
2	Q9UBU8-D2	167-362	196		ETPQPPRKKRARVDPTVENEETFMNRVEVKVKIPEELKPWLVDDWDLITRQKQLFYLPAKKNVDSILEDYANYKKSRGNTDNKEYAVNEVVAGIKEYFNVMLGTQLLYKFERPQYAEILADHPDAPMSQVYGAPHLLRLFVRIGAMLAYTPLDEKSLALLLNYLHDFLKYLAKNSATLFSASDYEVAPPEYHRKAV

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	2f5jB	0.43	1.04	0.994	0.439	model1_2f5jB.pdb.gz
2	2y0nA	0.43	1.66	0.344	0.442	model1_2y0nA.pdb.gz
3	6um1A	0.40	6.55	0.049	0.663	model1_6um1A.pdb.gz
4	6jxaA	0.40	6.92	0.036	0.671	model1_6jxaA.pdb.gz
5	3ibjA	0.39	6.45	0.068	0.627	model1_3ibjA.pdb.gz
6	3cmuA	0.39	7.13	0.037	0.680	model1_3cmuA.pdb.gz
7	4zxhA	0.39	6.75	0.067	0.652	model1_4zxhA.pdb.gz
8	1ej6A	0.38	6.76	0.051	0.649	model1_1ej6A.pdb.gz
9	6r4lA	0.37	6.84	0.044	0.622	model1_6r4lA.pdb.gz
10	6bq1A	0.37	6.83	0.037	0.627	model1_6bq1A.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	0.49	heterocyclic compound binding
GO:0097159	0.49	organic cyclic compound binding
GO:0047485	0.40	protein N-terminus binding
GO:0003676	0.39	nucleic acid binding
GO:0003682	0.36	chromatin binding
GO:0003677	0.31	DNA 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:0044260	1.00	cellular macromolecule metabolic process
GO:0044238	1.00	primary metabolic process
GO:0016573	0.99	histone acetylation
GO:0006338	0.97	chromatin remodeling
GO:0065007	0.90	biological regulation
GO:0050789	0.90	regulation of biological process
GO:0050794	0.89	regulation of cellular process
GO:0044699	0.89	single-organism process
GO:0080090	0.88	regulation of primary metabolic process
GO:0044763	0.88	single-organism cellular process
GO:0043967	0.88	histone H4 acetylation
GO:0031323	0.88	regulation of cellular metabolic process
GO:0010468	0.88	regulation of gene expression
GO:0048523	0.87	negative regulation of cellular process
GO:0043968	0.87	histone H2A acetylation
GO:0016575	0.87	histone deacetylation
GO:0006355	0.87	regulation of transcription, DNA-templated
GO:0045892	0.86	negative regulation of transcription, DNA-templated
GO:0040029	0.86	regulation of gene expression, epigenetic
GO:0006342	0.85	chromatin silencing

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:0044446	1.00	intracellular organelle part
GO:0044428	0.99	nuclear part
GO:0043234	0.96	protein complex
GO:0000123	0.95	histone acetyltransferase complex
GO:0035267	0.84	NuA4 histone acetyltransferase complex

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	1hn0A	0.310	7.07	0.040	0.541	4.2.2.20	NA
2	0.060	2np0A	0.274	7.31	0.028	0.492	3.4.24.69	NA
3	0.060	1nbwA	0.321	6.29	0.034	0.511	4.2.1.30	NA
4	0.060	1un9A	0.368	6.50	0.062	0.591	2.7.1.29	260,334
5	0.060	1eulA	0.324	6.50	0.025	0.525	3.6.3.8	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	3cmvF	0.313	7.23	0.055	0.552	0.23	ANP	complex1.pdb.gz	13,14,15,16,17,47
2	0.01	1un9B	0.365	6.50	0.052	0.583	0.15	ANP	complex2.pdb.gz	255,256,257,260
3	0.01	1un8A	0.369	6.37	0.061	0.583	0.15	MYY	complex3.pdb.gz	253,257,260,268,339
4	0.01	1i1eA	0.274	6.02	0.040	0.406	0.29	DM2	complex4.pdb.gz	260,263,264,312,313
5	0.01	3cmvB	0.301	7.13	0.040	0.536	0.17	ANP	complex5.pdb.gz	260,299,302
6	0.01	2np0A	0.274	7.31	0.028	0.492	0.12	III	complex6.pdb.gz	203,205,206,207,300,304,310
7	0.01	1xmvA	0.179	6.52	0.050	0.290	0.19	ADP	complex7.pdb.gz	261,309,312
8	0.01	2nm1A	0.207	6.65	0.030	0.334	0.17	III	complex8.pdb.gz	259,260,332,333
9	0.01	1un9A	0.368	6.50	0.062	0.591	0.17	ANP	complex9.pdb.gz	259,260,261,264

	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.