D-I-TASSER Q9NS73

D-I-TASSER results for Q9NS73

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

Summary of the Protein

Uniprot ID: Q9NS73
Protein Name: MAP3K12-binding inhibitory protein 1
Gene Name: MBIP

Input Sequence in FASTA format

>Q9NS73 (344 residues)
MAAATELNRPSSGDRNLERRCRPNLSREVLYEIFRSLHTLVGQLDLRDDVVKITIDWNKL
QSLSAFQPALLFSALEQHILYLQPFLAKLQSPIKEENTTAVEEIGRTEMGNKNEVNDKFS
IGDLQEEEKHKESDLRDVKKTQIHFDPEVVQIKAGKAEIDRRISAFIERKQAEINENNVR
EFCNVIDCNQENSCARTDAIFTPYPGFKSHVKVSRVVNTYGPQTRPEGIPGSGHKPNSML
RDCGNQAVEERLQNIEAHLRLQTGGPVPRDIYQRIKKLEDKILELEGISPEYFQSVSFSG
KRRKVQPPQQNYSLAELDEKISALKQALLRKSREAESMATHHLP

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	Q9NS73-D1	1-344	344		MAAATELNRPSSGDRNLERRCRPNLSREVLYEIFRSLHTLVGQLDLRDDVVKITIDWNKLQSLSAFQPALLFSALEQHILYLQPFLAKLQSPIKEENTTAVEEIGRTEMGNKNEVNDKFSIGDLQEEEKHKESDLRDVKKTQIHFDPEVVQIKAGKAEIDRRISAFIERKQAEINENNVREFCNVIDCNQENSCARTDAIFTPYPGFKSHVKVSRVVNTYGPQTRPEGIPGSGHKPNSMLRDCGNQAVEERLQNIEAHLRLQTGGPVPRDIYQRIKKLEDKILELEGISPEYFQSVSFSGKRRKVQPPQQNYSLAELDEKISALKQALLRKSREAESMATHHLP

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.4517

(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	3ffzA	0.43	6.36	0.034	0.686	model1_3ffzA.pdb.gz
2	5x0mA2	0.41	6.38	0.040	0.651	model1_5x0mA2.pdb.gz
3	6rc9A	0.41	7.16	0.033	0.738	model1_6rc9A.pdb.gz
4	7c6oA	0.41	6.71	0.042	0.701	model1_7c6oA.pdb.gz
5	6rutB1	0.41	6.77	0.025	0.698	model1_6rutB1.pdb.gz
6	5julA	0.40	6.86	0.032	0.698	model1_5julA.pdb.gz
7	3ucqA	0.40	6.28	0.068	0.657	model1_3ucqA.pdb.gz
8	6uz0A	0.40	6.26	0.050	0.634	model1_6uz0A.pdb.gz
9	7dtdA	0.40	6.28	0.051	0.628	model1_7dtdA.pdb.gz
10	5twvB	0.40	6.81	0.052	0.663	model1_5twvB.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	0.66	catalytic activity
GO:0016740	0.65	transferase activity
GO:0030366	0.58	molybdopterin synthase 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:0071704	1.00	organic substance metabolic process
GO:0044238	1.00	primary metabolic process
GO:0044237	1.00	cellular metabolic process
GO:0043170	0.96	macromolecule metabolic process
GO:0019538	0.95	protein metabolic process
GO:0006807	0.70	nitrogen compound metabolic process
GO:1901576	0.69	organic substance biosynthetic process
GO:1901360	0.69	organic cyclic compound metabolic process
GO:0046483	0.69	heterocycle metabolic process
GO:0044249	0.69	cellular biosynthetic process
GO:1901362	0.66	organic cyclic compound biosynthetic process
GO:0018130	0.66	heterocycle biosynthetic process
GO:0044260	0.65	cellular macromolecule metabolic process
GO:0006796	0.60	phosphate-containing compound metabolic process
GO:1901564	0.59	organonitrogen compound metabolic process
GO:0019637	0.59	organophosphate metabolic process
GO:1901566	0.58	organonitrogen compound biosynthetic process
GO:0090407	0.58	organophosphate biosynthetic process
GO:0051188	0.58	cofactor biosynthetic process
GO:0043545	0.58	molybdopterin cofactor metabolic process
GO:0016043	0.55	cellular component organization
GO:0006777	0.52	Mo-molybdopterin cofactor biosynthetic process
GO:0043933	0.51	macromolecular complex subunit organization
GO:0006464	0.51	cellular protein modification process
GO:0006325	0.50	chromatin organization

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:0044446	0.67	intracellular organelle part
GO:0044444	0.66	cytoplasmic part
GO:0032991	0.63	macromolecular complex
GO:0043234	0.62	protein complex
GO:0005829	0.62	cytosol
GO:0044428	0.60	nuclear part
GO:0043226	0.60	organelle
GO:0044451	0.58	nucleoplasm part
GO:0043229	0.58	intracellular organelle
GO:1990234	0.57	transferase complex
GO:0000123	0.55	histone acetyltransferase complex
GO:0043227	0.54	membrane-bounded organelle
GO:0005671	0.54	Ada2/Gcn5/Ada3 transcription activator complex
GO:0043231	0.52	intracellular membrane-bounded organelle
GO:0005634	0.51	nucleus

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	1hxgA	0.350	6.57	0.042	0.587	4.2.3.9 4.1.99.7	NA
2	0.060	1ug9A	0.359	6.34	0.056	0.576	3.2.1.70	NA
3	0.060	5coxA	0.374	6.69	0.063	0.637	1.14.99.1	NA
4	0.060	1eqrA	0.352	6.73	0.031	0.596	6.1.1.12	47
5	0.060	2wyhA	0.379	6.01	0.032	0.593	3.2.1.24	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:

Click to view	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	3o8nB	0.351	6.93	0.040	0.602	0.16	ADP	complex1.pdb.gz	196,197,219

	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.