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The families contain proteins with maximal sequence similarity and minimal paralogous content.
The families contain proteins with maximal sequence similarity and minimal paralogous content and are built using the ClusterZSL algorithm.
Loops were modeled by scanning a nonredundant subset of the PDB (≫8000 structures) for fragments with matching anchor points, a minimal number of bumps, and maximal sequence similarity.
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The CATHSCOP set contains lists of templates of consistently classified domains for 4859 target domains with pairwise maximal sequence similarities of 50%.
Partial alleles were partitioned into sets according to their exons with known sequences to ensure sequence similarity calculation using maximal sequence information available.
To exclude cases in which the transfer of functional annotation could be successfully achieved in most cases by simple sequence similarity based methods, we only consider hypothetical proteins whose maximal sequence identity to any of the enzymes we used to train EFICAz is less than 60%.
Sequences were clustered at 97% sequence similarity.
There is also significant interspecies sequence similarity.
Edges represent the global sequence similarity.
Their sequences are conservative with high sequence similarity.
Sequences were grouped into OTUs with over 98%% sequence similarity.
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