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)
RMSDa is the RMSD between residues that are structurally aligned by TM-align.
(d)
IDENa 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.
Download full result of the above consensus prediction.
Click the graph to show a high resolution version.
(a)
CscoreGO is the confidence score of predicted GO terms. CscoreGO 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 CscoreGO:
Download full result of the above consensus prediction.
Click the graph to show a high resolution version.
(a)
CscoreGO is the confidence score of predicted GO terms. CscoreGO 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 CscoreGO:
Download full result of the above consensus prediction.
Click the graph to show a high resolution version.
(a)
CscoreGO is the confidence score of predicted GO terms. CscoreGO 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 CscoreGO:
[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.