MELDB: a database for microbial esterases and lipases

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Title
MELDB: a database for microbial esterases and lipases
Author(s)
Hoyoung Ghang; Jihyun Kim; Myung Hee Kim; Seung Hwan Park; Tae Kwang Oh; Cheol-Goo Hur
Bibliographic Citation
FEBS Letters, vol. 580, no. 11, pp. 2736-2740
Publication Year
2006
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.
Keyword
DomainFamilyIdentification systemMicrobial esteraseMicrobial lipaseMotif
ISSN
0014-5793
Publisher
Wiley
DOI
http://dx.doi.org/10.1016/j.febslet.2006.04.034
Type
Article
Appears in Collections:
Ochang Branch Institute > Division of Bioinfrastructure > Laboratory Animal Resource Center > 1. Journal Articles
Division of Biomedical Research > Metabolic Regulation Research Center > 1. Journal Articles
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