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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
Institution:Genome Research Center, Korea Research Institute of Bioscience and Biotechnology, KRIBB, P.O. Box 115, Yuseong, Daejeon 305-600, Republic of Korea.
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.
Keywords:Microbial esterase  Microbial lipase  Family  Identification system  Domain  Motif
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