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FEBS Letters
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FEBS Letters
Article . 2006 . Peer-reviewed
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FEBS Letters
Article . 2006
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MELDB: A database for microbial esterases and lipases

Authors: Kang, Ho-Young; Kim, Jihyun F.; Kim, Myung Hee; Park, Seung-Hwan; Oh, Tae-Kwang; Hur, Cheol-Goo;

MELDB: A database for microbial esterases and lipases

Abstract

MELDB is a comprehensive protein database of microbial esterases and lipases which are hydrolytic enzymes important in the modern industry. Proteins in MELDB are clustered into groups according to their sequence similarities based on a local pairwise alignment algorithm and a graph clustering algorithm (TribeMCL). This differs from traditional approaches that use global pairwise alignment and joining methods. Our procedure was able to reduce the noise caused by dubious alignment in the distantly related or unrelated regions in the sequences. In the database, 883 esterase and lipase sequences derived from microbial sources are deposited and conserved parts of each protein are identified. HMM profiles of each cluster were generated to classify unknown sequences. Contents of the database can be keyword‐searched and query sequences can be aligned to sequence profiles and sequences themselves.

Related Organizations
Keywords

Binding Sites, Bacteria, Molecular Sequence Data, Esterases, Lipase, Microbial esterase, Microbial lipase, Identification system, Family, Motif, Amino Acid Sequence, Databases, Protein, Domain, Conserved Sequence, Phylogeny

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
bronze