D-I-TASSER Q86V86

D-I-TASSER results for Q86V86

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

Summary of the Protein

Uniprot ID: Q86V86
Protein Name: Serine/threonine-protein kinase pim-3
Gene Name: PIM3

Input Sequence in FASTA format

>Q86V86 (326 residues)
MLLSKFGSLAHLCGPGGVDHLPVKILQPAKADKESFEKAYQVGAVLGSGGFGTVYAGSRI
ADGLPVAVKHVVKERVTEWGSLGGATVPLEVVLLRKVGAAGGARGVIRLLDWFERPDGFL
LVLERPEPAQDLFDFITERGALDEPLARRFFAQVLAAVRHCHSCGVVHRDIKDENLLVDL
RSGELKLIDFGSGALLKDTVYTDFDGTRVYSPPEWIRYHRYHGRSATVWSLGVLLYDMVC
GDIPFEQDEEILRGRLLFRRRVSPECQQLIRWCLSLRPSERPSLDQIAAHPWMLGADGGV
PESCDLRLCTLDPDDVASTTSSSESL

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	Q86V86-D1	1-124	124		MLLSKFGSLAHLCGPGGVDHLPVKILQPAKADKESFEKAYQVGAVLGSGGFGTVYAGSRIADGLPVAVKHVVKERVTEWGSLGGATVPLEVVLLRKVGAAGGARGVIRLLDWFERPDGFLLVLE
2	Q86V86-D2	125-326	202		RPEPAQDLFDFITERGALDEPLARRFFAQVLAAVRHCHSCGVVHRDIKDENLLVDLRSGELKLIDFGSGALLKDTVYTDFDGTRVYSPPEWIRYHRYHGRSATVWSLGVLLYDMVCGDIPFEQDEEILRGRLLFRRRVSPECQQLIRWCLSLRPSERPSLDQIAAHPWMLGADGGVPESCDLRLCTLDPDDVASTTSSSESL

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.89

(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	2f2uA	0.81	3.35	0.245	0.923	model1_2f2uA.pdb.gz
2	1cdkA	0.80	2.64	0.234	0.874	model1_1cdkA.pdb.gz
3	6pjxA	0.80	2.53	0.221	0.868	model1_6pjxA.pdb.gz
4	3pfqA	0.79	1.97	0.223	0.850	model1_3pfqA.pdb.gz
5	3tkuA	0.79	3.04	0.218	0.899	model1_3tkuA.pdb.gz
6	1u5rA	0.79	2.61	0.222	0.883	model1_1u5rA.pdb.gz
7	2jedA	0.79	2.56	0.233	0.862	model1_2jedA.pdb.gz
8	4crsA	0.79	2.54	0.238	0.856	model1_4crsA.pdb.gz
9	2vd5A	0.79	2.95	0.258	0.886	model1_2vd5A.pdb.gz
10	3d0eA	0.79	2.37	0.271	0.856	model1_3d0eA.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	0.98	catalytic activity
GO:0004672	0.97	protein kinase activity
GO:0004674	0.90	protein serine/threonine kinase 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:0009987	0.93	cellular process
GO:0071704	0.87	organic substance metabolic process
GO:0044238	0.86	primary metabolic process
GO:0044237	0.86	cellular metabolic process
GO:0044260	0.85	cellular macromolecule metabolic process
GO:0065007	0.84	biological regulation
GO:0050789	0.84	regulation of biological process
GO:0050794	0.82	regulation of cellular process
GO:0019538	0.78	protein metabolic process
GO:0006796	0.77	phosphate-containing compound metabolic process
GO:0006464	0.77	cellular protein modification process
GO:0006468	0.76	protein phosphorylation
GO:0007165	0.63	signal transduction

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:0043226	0.71	organelle
GO:0043229	0.70	intracellular organelle
GO:0043227	0.68	membrane-bounded organelle
GO:0043231	0.67	intracellular membrane-bounded organelle
GO:0005634	0.62	nucleus
GO:0005737	0.58	cytoplasm

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	0.370	3efwB	0.681	1.77	0.309	0.724	2.7.11.1	90,170,172,174,177,190
2	0.344	3lm0A	0.732	2.24	0.243	0.788	2.7.11.1	NA
3	0.328	2bfyB	0.732	2.47	0.256	0.810	2.7.11.1	46,69,123,177
4	0.293	3cokB	0.627	2.84	0.288	0.706	2.7.11.21	47,54,67,87,109,123
5	0.173	2iwiB	0.736	1.41	0.667	0.764	2.7.11.1	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	0.41	3ndmB	0.807	3.24	0.257	0.920	1.17	3ND	complex1.pdb.gz	48,49,52,53,54,67,69,107,123,127,174,177,188,189
2	0.38	3d9vA	0.806	3.07	0.251	0.911	1.19	H52	complex2.pdb.gz	46,47,48,49,54,67,123,124,125,174,175,177,188
3	0.36	2gnhA	0.804	2.46	0.243	0.874	1.27	III	complex3.pdb.gz	50,51,80,131,133,137,172,173,174,192,204,206,207,208,209,237,242,243,246,247
4	0.36	2v55A	0.800	3.35	0.252	0.920	1.12	ANP	complex4.pdb.gz	46,50,69,107,123,124,125,131,172,174,189
5	0.34	3bwjA	0.800	2.56	0.234	0.874	1.06	ARX	complex5.pdb.gz	46,48,49,50,51,52,54,67,69,71,107,123,124,125,131,170,172,174,177,188,189,192,207
6	0.24	3ovvA	0.806	2.53	0.238	0.877	1.04	1SB	complex6.pdb.gz	49,50,51,52,53,54,67,69,71,124,125,188,189
7	0.24	2vnwA	0.810	2.46	0.238	0.877	1.06	M01	complex7.pdb.gz	46,67,107,124,131,174,175,177,188,189,326
8	0.23	3nx8A	0.804	2.56	0.235	0.877	0.89	IPH	complex8.pdb.gz	47,48,49,54,174,175,188
9	0.23	1szmB	0.758	2.59	0.221	0.844	1.13	BI4	complex9.pdb.gz	46,48,54,67,69,123,124,125
10	0.23	1bkxA	0.811	2.48	0.236	0.877	0.81	A	complex10.pdb.gz	47,48,53,68,123,124,174,177,188

	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.