D-I-TASSER P11166

D-I-TASSER results for P11166

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

Summary of the Protein

Uniprot ID: P11166
Protein Name: Solute carrier family 2, facilitated glucose transporter member 1
Gene Name: SLC2A1

Input Sequence in FASTA format

>P11166 (492 residues)
MEPSSKKLTGRLMLAVGGAVLGSLQFGYNTGVINAPQKVIEEFYNQTWVHRYGESILPTT
LTTLWSLSVAIFSVGGMIGSFSVGLFVNRFGRRNSMLMMNLLAFVSAVLMGFSKLGKSFE
MLILGRFIIGVYCGLTTGFVPMYVGEVSPTALRGALGTLHQLGIVVGILIAQVFGLDSIM
GNKDLWPLLLSIIFIPALLQCIVLPFCPESPRFLLINRNEENRAKSVLKKLRGTADVTHD
LQEMKEESRQMMREKKVTILELFRSPAYRQPILIAVVLQLSQQLSGINAVFYYSTSIFEK
AGVQQPVYATIGSGIVNTAFTVVSLFVVERAGRRTLHLIGLAGMAGCAILMTIALALLEQ
LPWMSYLSIVAIFGFVAFFEVGPGPIPWFIVAELFSQGPRPAAIAVAGFSNWTSNFIVGM
CFQYVEQLCGPYVFIIFTVLLVLFFIFTYFKVPETKGRTFDEIASGFRQGGASQSDKTPE
ELFHPLGADSQV

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	P11166-D1	1-255	255		MEPSSKKLTGRLMLAVGGAVLGSLQFGYNTGVINAPQKVIEEFYNQTWVHRYGESILPTTLTTLWSLSVAIFSVGGMIGSFSVGLFVNRFGRRNSMLMMNLLAFVSAVLMGFSKLGKSFEMLILGRFIIGVYCGLTTGFVPMYVGEVSPTALRGALGTLHQLGIVVGILIAQVFGLDSIMGNKDLWPLLLSIIFIPALLQCIVLPFCPESPRFLLINRNEENRAKSVLKKLRGTADVTHDLQEMKEESRQMMREK
2	P11166-D2	256-492	237		KVTILELFRSPAYRQPILIAVVLQLSQQLSGINAVFYYSTSIFEKAGVQQPVYATIGSGIVNTAFTVVSLFVVERAGRRTLHLIGLAGMAGCAILMTIALALLEQLPWMSYLSIVAIFGFVAFFEVGPGPIPWFIVAELFSQGPRPAAIAVAGFSNWTSNFIVGMCFQYVEQLCGPYVFIIFTVLLVLFFIFTYFKVPETKGRTFDEIASGFRQGGASQSDKTPEELFHPLGADSQV

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.8622

(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	7wsmA	0.92	1.15	0.687	0.935	model1_7wsmA.pdb.gz
2	6thaA	0.90	0.79	1.000	0.911	model1_6thaA.pdb.gz
3	7crzA	0.85	2.80	0.658	0.945	model1_7crzA.pdb.gz
4	6h7dA	0.80	3.52	0.241	0.925	model1_6h7dA.pdb.gz
5	4gbyA	0.79	3.08	0.262	0.898	model1_4gbyA.pdb.gz
6	6rw3A	0.79	2.91	0.267	0.876	model1_6rw3A.pdb.gz
7	4ybqA	0.78	3.27	0.415	0.900	model1_4ybqA.pdb.gz
8	4ldsA1	0.42	2.18	0.303	0.449	model1_4ldsA1.pdb.gz
9	4zowA1	0.36	2.46	0.166	0.386	model1_4zowA1.pdb.gz
10	2d0pA	0.29	7.14	0.045	0.459	model1_2d0pA.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:0022891	1.00	substrate-specific transmembrane transporter activity
GO:0051119	0.85	sugar transmembrane transporter activity
GO:0015075	0.85	ion transmembrane transporter activity
GO:0022804	0.82	active transmembrane transporter activity
GO:0015149	0.82	hexose transmembrane transporter activity
GO:0008324	0.81	cation transmembrane transporter activity
GO:0015291	0.80	secondary active transmembrane transporter activity
GO:0005355	0.80	glucose transmembrane transporter activity
GO:0015295	0.76	solute:proton symporter activity
GO:0005351	0.75	sugar:proton symporter 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:0044699	0.95	single-organism process
GO:0006810	0.94	transport
GO:0071702	0.92	organic substance transport
GO:0044765	0.92	single-organism transport
GO:0008643	0.86	carbohydrate transport
GO:0008645	0.85	hexose transport
GO:0015758	0.83	glucose transport
GO:0055085	0.80	transmembrane transport
GO:0046323	0.77	glucose import
GO:0034219	0.77	carbohydrate transmembrane transport
GO:0035428	0.76	hexose transmembrane transport

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	0.99	cell part
GO:0044425	0.96	membrane part
GO:0016021	0.95	integral component of membrane
GO:0044459	0.90	plasma membrane part
GO:0005887	0.89	integral component of plasma membrane
GO:0044424	0.61	intracellular part

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	2je8B	0.336	7.65	0.061	0.565	3.2.1.25	NA
2	0.060	2fhbA	0.276	7.84	0.025	0.484	3.2.1.41	NA
3	0.060	1ofdA	0.289	7.79	0.040	0.494	1.4.7.1	NA
4	0.060	1iduA	0.326	6.87	0.054	0.504	1.11.1.10	NA
5	0.060	3b9jC	0.285	7.86	0.055	0.506	1.17.3.2 1.17.1.4	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	2ieiA	0.348	7.37	0.045	0.565	0.50	FRX	complex1.pdb.gz	30,32,71,75,78
2	0.01	6gpbA	0.349	7.33	0.041	0.559	0.50	GLC	complex2.pdb.gz	23,24,26,27,72,73,80
3	0.01	1h5uA	0.347	7.34	0.041	0.563	0.56	CHI	complex3.pdb.gz	23,26,27,30,141
4	0.01	2iegA	0.350	7.21	0.041	0.559	0.52	FRY	complex4.pdb.gz	24,27,31
5	0.01	1l7xA	0.348	7.31	0.045	0.561	0.58	700	complex5.pdb.gz	26,30,134
6	0.01	2ieiA	0.348	7.37	0.045	0.565	0.50	FRX	complex6.pdb.gz	25,28,32,103,106
7	0.01	2iegB	0.289	7.35	0.041	0.469	0.53	FRY	complex7.pdb.gz	29,75,79
8	0.01	1p2dA	0.347	7.37	0.041	0.563	0.60	GLC	complex8.pdb.gz	26,27,29,30,77,79

	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.