MetaGO result for job id PF14342

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>UniRef100_D2V4F1/25-195 (171 residues)
EKSKLSVWDLKFWKCKHSWKRASLNTLNCLIGCSIGDFSMMWFLTSQYPELGMAMIMPIC
MASGIATSLALETALLRYREKFDTTVEAFRMACKMSFFSMLTMELSENITDYGMMTYWGL
LNNDNDTGCTSMLQVNEPAFWVSLAASLSMGYLVPLPYNYYQLKKHGKSCH

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	4f4cA	0.58	4.45	0.042	0.883	Download
2	6fgzA	0.56	3.61	0.046	0.778	Download
3	5wtiZ	0.56	4.53	0.025	0.830	Download
4	4whjA	0.54	3.96	0.052	0.789	Download
5	2w6dA2	0.54	4.49	0.054	0.825	Download
6	4q2eA	0.54	4.62	0.064	0.819	Download
7	4bejA2	0.54	4.23	0.057	0.825	Download
8	3snhA	0.53	4.30	0.049	0.813	Download
9	3ljbA	0.53	4.42	0.033	0.830	Download
10	2j69A	0.50	4.95	0.036	0.848	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	0.68	transporter activity
GO:0043492	0.05	ATPase activity, coupled to movement of substances
GO:0035639	0.05	purine ribonucleoside triphosphate binding
GO:0032559	0.05	adenyl ribonucleotide binding
GO:0032550	0.05	purine ribonucleoside binding
GO:0016820	0.05	hydrolase activity, acting on acid anhydrides, catalyzing transmembrane movement of substances
GO:0015405	0.05	P-P-bond-hydrolysis-driven 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:0006810	0.48	transport
GO:0044765	0.04	single-organism transport
GO:0044763	0.03	single-organism cellular 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:0043190	0.01	ATP-binding cassette (ABC) transporter complex
GO:0016021	0.01	integral component of membrane
GO:0005886	0.01	plasma membrane

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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