Primary Citation PubMed: 23493555
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Discovering co-occurring patterns and their biological significance in protein families.
(2014) BMC Bioinformatics 15 Suppl 12
PubMed: 25474736 | PubMedCentral: PMC4243116 | DOI: 10.1186/1471-2105-15-S12-S2
Protein name Pfam ID Co-occurrence cluster count Size of the best cluster PDB ID of the best cluster Average APC distance of the best cluster Average pairwise distance Lipocalin PF00061 6 4 2CZT 16.77... Å 19.26 Å Bacterial rhodopsins PF01036 2 2 1JGJ 16.52 Å 22.51 Å Bacterial antenna complex PF00556 4 5 1IJD 0 Å 19.92 Å Cytochrome c oxidase subunit I PF00115 2 25 3OM3 26.78 Å* 30.00 Å Photosynthetic reaction centre protein family PF00124 2 7 1PSS 27.87 Å 30.19 Å Leptin PF02024 2 14 1AX8 15.73 Å 18.37 Å G-alpha subunit PF00503 3 8 4G5O 15.78 Å 27.45 Å Protein kinase domain PF00069 2 2 3OZ6 15.32 Å 27.51 Å Tyrosine kinase PF07714 2 8 4HW7 14.43 Å 24.99 Å Displays the Co-occurrence Cluster with the lowest average eigenvector distance, and are used to verify the algorithm's effectiveness with a PDB structure.
Publication Year: 2014
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