MetaGO result for job id PF11297

User Input

>27359072/1-94 (94 residues)
GMAFGWAAISGTAITQIISRWFDARRGLALNLALTGASAAGFVVVPALVASIARFGLGPG
VALTAATLALLLLVLIALNLVEPAARAAAPAAAK

Download query sequence and structure

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	3oceA2	0.63	2.98	0.096	0.862	Download
2	1yfeA3	0.62	3.26	0.065	0.872	Download
3	1q5nA	0.62	3.59	0.064	0.883	Download
4	3no9A	0.62	3.27	0.065	0.872	Download
5	3gtdA	0.62	3.28	0.032	0.872	Download
6	6n1mA3	0.62	3.31	0.075	0.872	Download
7	3e04D	0.62	3.24	0.054	0.872	Download
8	2j91B	0.62	3.36	0.097	0.872	Download
9	1dofA	0.62	3.48	0.074	0.883	Download
10	1vdkA3	0.61	3.25	0.108	0.862	Download

(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:0005215	0.17	transporter activity
GO:0022857	0.04	transmembrane transporter activity
GO:0016842	0.03	amidine-lyase activity
GO:0008028	0.03	monocarboxylic acid transmembrane transporter activity
GO:0015129	0.01	lactate transmembrane transporter 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:

[0.13,0.5)

[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:0055085	0.08	transmembrane transport
GO:0006811	0.08	ion transport
GO:0034220	0.06	ion transmembrane transport
GO:0071704	0.03	organic substance metabolic process
GO:0044281	0.03	small molecule metabolic process
GO:0044237	0.03	cellular metabolic process
GO:0051259	0.02	protein oligomerization
GO:0009260	0.02	ribonucleotide biosynthetic process
GO:0009150	0.02	purine ribonucleotide metabolic process
GO:0006164	0.02	purine nucleotide biosynthetic 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:

[0.08,0.5)

[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:0045239	0.04	tricarboxylic acid cycle enzyme complex
GO:0070062	0.01	extracellular exosome
GO:0016021	0.01	integral component of membrane
GO:0005829	0.01	cytosol
GO:0005759	0.01	mitochondrial matrix
GO:0005737	0.01	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:

[0.14,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Reference:

Chengxin Zhang, Peter L Freddolino, and Yang Zhang. (2018) MetaGO: A Structure and Protein-Protein Interaction Network Based Pipeline for Automated Protein Function Annotations. Journal of Molecular Biology.

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