Kang_2006_FEBS.Lett_580_2736

Reference

Title : MELDB: a database for microbial esterases and lipases - Kang_2006_FEBS.Lett_580_2736
Author(s) : Kang HY , Kim JF , Kim MH , Park SH , Oh TK , Hur CG
Ref : FEBS Letters , 580 :2736 , 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.

PubMedSearch : Kang_2006_FEBS.Lett_580_2736
PubMedID: 16647704

Related information

Citations formats

Kang HY, Kim JF, Kim MH, Park SH, Oh TK, Hur CG (2006)
MELDB: a database for microbial esterases and lipases
FEBS Letters 580 :2736

Kang HY, Kim JF, Kim MH, Park SH, Oh TK, Hur CG (2006)
FEBS Letters 580 :2736