D-I-TASSER P28482

D-I-TASSER results for P28482

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

Summary of the Protein

Uniprot ID: P28482
Protein Name: Mitogen-activated protein kinase 1
Gene Name: MAPK1

Input Sequence in FASTA format

>P28482 (360 residues)
MAAAAAAGAGPEMVRGQVFDVGPRYTNLSYIGEGAYGMVCSAYDNVNKVRVAIKKISPFE
HQTYCQRTLREIKILLRFRHENIIGINDIIRAPTIEQMKDVYIVQDLMETDLYKLLKTQH
LSNDHICYFLYQILRGLKYIHSANVLHRDLKPSNLLLNTTCDLKICDFGLARVADPDHDH
TGFLTEYVATRWYRAPEIMLNSKGYTKSIDIWSVGCILAEMLSNRPIFPGKHYLDQLNHI
LGILGSPSQEDLNCIINLKARNYLLSLPHKNKVPWNRLFPNADSKALDLLDKMLTFNPHK
RIEVEQALAHPYLEQYYDPSDEPIAEAPFKFDMELDDLPKEKLKELIFEETARFQPGYRS

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	P28482-D1	1-106,327-360	140		MAAAAAAGAGPEMVRGQVFDVGPRYTNLSYIGEGAYGMVCSAYDNVNKVRVAIKKISPFEHQTYCQRTLREIKILLRFRHENIIGINDIIRAPTIEQMKDVYIVQDAPFKFDMELDDLPKEKLKELIFEETARFQPGYRS
2	P28482-D2	107-326	220		LMETDLYKLLKTQHLSNDHICYFLYQILRGLKYIHSANVLHRDLKPSNLLLNTTCDLKICDFGLARVADPDHDHTGFLTEYVATRWYRAPEIMLNSKGYTKSIDIWSVGCILAEMLSNRPIFPGKHYLDQLNHILGILGSPSQEDLNCIINLKARNYLLSLPHKNKVPWNRLFPNADSKALDLLDKMLTFNPHKRIEVEQALAHPYLEQYYDPSDEPIAE

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.873

(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	5z33A	0.92	2.03	0.486	0.972	model1_5z33A.pdb.gz
2	7w5cA	0.91	1.76	0.491	0.961	model1_7w5cA.pdb.gz
3	3i5zA	0.89	1.37	0.994	0.919	model1_3i5zA.pdb.gz
4	2b9iA	0.88	1.69	0.511	0.925	model1_2b9iA.pdb.gz
5	2h96A	0.88	2.19	0.402	0.953	model1_2h96A.pdb.gz
6	3rp9A	0.87	2.11	0.386	0.922	model1_3rp9A.pdb.gz
7	4b99A	0.87	2.02	0.514	0.919	model1_4b99A.pdb.gz
8	3n9xA	0.87	2.17	0.398	0.928	model1_3n9xA.pdb.gz
9	4qnyA	0.86	1.73	0.442	0.906	model1_4qnyA.pdb.gz
10	5ci6A	0.86	1.77	0.491	0.894	model1_5ci6A.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:0004672	0.96	protein kinase activity
GO:0004674	0.85	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	0.91	cellular process
GO:0065007	0.84	biological regulation
GO:0050789	0.83	regulation of biological process
GO:0071704	0.82	organic substance metabolic process
GO:0050794	0.81	regulation of cellular process
GO:0044237	0.81	cellular metabolic process
GO:0044260	0.80	cellular macromolecule metabolic process
GO:0044238	0.80	primary metabolic process
GO:0006796	0.74	phosphate-containing compound metabolic process
GO:0006464	0.74	cellular protein modification process
GO:0006468	0.73	protein phosphorylation
GO:0007165	0.61	signal transduction
GO:0044699	0.51	single-organism process

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	0.89	intracellular part
GO:0043226	0.59	organelle
GO:0043229	0.57	intracellular organelle
GO:0043227	0.55	membrane-bounded organelle
GO:0043231	0.53	intracellular membrane-bounded organelle
GO:0005737	0.52	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	0.462	3itzA	0.844	2.55	0.468	0.936	2.7.11.24	68
2	0.389	2zoqA	0.926	1.93	0.864	0.975	2.7.11.24	149,151
3	0.323	3eqrB	0.641	2.69	0.215	0.711	2.7.10.2	149,154
4	0.292	1sm2A	0.590	2.65	0.217	0.656	2.7.10.2	149,154
5	0.217	3cokB	0.568	2.15	0.289	0.611	2.7.11.21	32,39,52

	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	0.92	3erkA	0.922	1.96	0.991	0.969	1.67	SB4	complex1.pdb.gz	39,52,54,84,103,105,106,108,111,153,156
2	0.92	2ojgA	0.901	1.74	0.997	0.933	1.87	19A	complex2.pdb.gz	31,32,36,39,52,54,84,105,106,107,108,111,114,156,166,167
3	0.91	4erkA	0.927	1.95	0.991	0.969	1.60	OLO	complex3.pdb.gz	31,33,52,105,106,107,108,109,110,114,156
4	0.86	3i5zA	0.890	1.37	0.994	0.919	1.73	Z48	complex4.pdb.gz	33,34,37,39,52,54,56,105,106,108,109,111,154,156,167
5	0.85	1golA	0.926	2.07	0.963	0.975	1.62	ATP	complex5.pdb.gz	39,52,106,108,111,114
6	0.82	1pmeA	0.885	1.88	0.979	0.922	1.36	SB2	complex6.pdb.gz	52,54,103,104,105,106,107,108,151,153,154,156,166,167
7	0.55	1pmnA	0.859	2.02	0.418	0.911	1.35	984	complex7.pdb.gz	31,33,39,52,53,54,84,86,103,105,108,109,110,153,154,166
8	0.54	3cgfA	0.864	1.99	0.415	0.917	1.33	JNF	complex8.pdb.gz	31,32,34,39,53,55,105,108,111,153,166
9	0.52	2h96A	0.879	2.19	0.402	0.953	1.06	893	complex9.pdb.gz	31,32,39,41,54,105,107,108,109,110,166
10	0.50	3oxiA	0.777	2.55	0.420	0.867	1.01	SYY	complex10.pdb.gz	38,53,105,106,107,108,110,111,156,166

	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.