MetaGO result for job id PF09335

User Input

>k87_1174123_1_1/2-159 (158 residues)
MLPGSPLTFTAGALFGFWKGLILVSIGSTLGATCAFMISRYLMRKSVEKRFLENKKFQSI
DNEINENGWKIVILARLSPIIPFFLLNYALGITKIRFFHFIFASWIGMIPGTTTYVLMGT
MGGAFINGKKSFFEWVLLGMGLVATILVTLLISKIVKN

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	2zxoA	0.44	5.06	0.045	0.747	Download
2	5f54A	0.44	5.33	0.073	0.772	Download
3	1c96A	0.43	5.41	0.051	0.804	Download
4	4j05A	0.43	5.28	0.063	0.791	Download
5	1yiqA	0.42	5.67	0.038	0.817	Download
6	6bzaA	0.42	5.73	0.081	0.817	Download
7	1ultA	0.42	5.24	0.064	0.753	Download
8	5cwiA	0.42	5.19	0.035	0.747	Download
9	1pg3B	0.41	5.00	0.058	0.715	Download
10	1kb0A1	0.40	5.44	0.082	0.759	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:0043169	0.03	cation binding
GO:0022857	0.01	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:0009987	0.04	cellular process
GO:0050794	0.02	regulation of cellular process
GO:0044763	0.02	single-organism cellular process
GO:0090305	0.01	nucleic acid phosphodiester bond hydrolysis
GO:0090090	0.01	negative regulation of canonical Wnt signaling pathway
GO:0060964	0.01	regulation of gene silencing by miRNA
GO:0055085	0.01	transmembrane transport
GO:0051480	0.01	regulation of cytosolic calcium ion concentration
GO:0046133	0.01	pyrimidine ribonucleoside catabolic process
GO:0045892	0.01	negative regulation of transcription, DNA-templated

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:0009316	0.01	3-isopropylmalate dehydratase complex
GO:0005829	0.01	cytosol

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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