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https://doi.org/10.1186/1471-2105-7-164
Title: | Application of a sensitive collection heuristic for very large protein families: Evolutionary relationship between adipose triglyceride lipase (ATGL) and classic mammalian lipases | Authors: | Schneider, G Neuberger, G Wildpaner, M Tian, S Berezovsky, I Eisenhaber, F |
Keywords: | Catalytic mechanisms Database searches Evolutionary relationships Nucleophilic attack Repetitive pattern Sequence analysis Sequence similarity Various substrates Amino acids Mammals Proteins Search engines Lipases serine triacylglycerol lipase triacylglycerol lipase alpha helix amino acid sequence article catalysis computer program data base enzyme specificity human mammal molecular evolution nonhuman nucleotide sequence protein family protein folding sequence alignment unindexed sequence adipose tissue algorithm animal chromosome map DNA sequence gene linkage disequilibrium genetics metabolism procedures sequence homology Mammalia Adipose Tissue Algorithms Animals Chromosome Mapping Conserved Sequence Evolution, Molecular Humans Linkage Disequilibrium Lipase Mammals Sequence Alignment Sequence Analysis, DNA Sequence Homology, Nucleic Acid |
Issue Date: | 2006 | Citation: | Schneider, G, Neuberger, G, Wildpaner, M, Tian, S, Berezovsky, I, Eisenhaber, F (2006). Application of a sensitive collection heuristic for very large protein families: Evolutionary relationship between adipose triglyceride lipase (ATGL) and classic mammalian lipases. BMC Bioinformatics 7 : 164. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2105-7-164 | Rights: | Attribution 4.0 International | Abstract: | Background: Manually finding subtle yet statistically significant links to distantly related homologues becomes practically impossible for very populated protein families due to the sheer number of similarity searches to be invoked and analyzed. The unclear evolutionary relationship between classical mammalian lipases and the recently discovered human adipose triglycericle lipase (ATGL; a patatin family member) is an exemplary case for such a problem. Results: We describe an unsupervised, sensitive sequence segment collection heuristic suitable for assembling very large protein families. It is based on fan-like expanding, iterative database searches. To prevent inclusion of unrelated hits, additional criteria are introduced: minimal alignment length and overlap with starting sequence segments, finding starting sequences in reciprocal searches, automated filtering for compositional bias and repetitive patterns. This heuristic was implemented as FAMILYSEARCHER in the ANNIE sequence analysis environment and applied to search for protein links between the classical lipase family and the patatin-like group. Conclusion: The FAMILYSEARCHER is an efficient tool for tracing distant evolutionary relationships involving large protein families. Although classical lipases and ATGIL have no obvious sequence similarity and differ with regard to fold and catalytic mechanism, homology links detected with FAMILYSEARCHER show that they are evolutionarily related. The conserved sequence parts can be narrowed down to an ancestral core module consisting of three ?-strands, one ?-helix and a turn containing the typical nucleophilic serine. Moreover, this ancestral module also appears in numerous enzymes with various substrate specificities, but that critically rely on nucleophilic attack mechanisms. © 2006 Schneider et al; licensee BioMed Central Ltd. | Source Title: | BMC Bioinformatics | URI: | https://scholarbank.nus.edu.sg/handle/10635/178021 | ISSN: | 14712105 | DOI: | 10.1186/1471-2105-7-164 | Rights: | Attribution 4.0 International |
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