Please use this identifier to cite or link to this item: 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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