Premium
MELDB: A database for microbial esterases and lipases
Author(s) -
Kang Ho-Young,
Kim Jihyun F.,
Kim Myung Hee,
Park Seung-Hwan,
Oh Tae-Kwang,
Hur Cheol-Goo
Publication year - 2006
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2006.04.034
Subject(s) - pairwise comparison , cluster analysis , lipase , esterase , sequence database , sequence (biology) , sequence alignment , multiple sequence alignment , graph , biology , computational biology , database , computer science , peptide sequence , enzyme , genetics , biochemistry , artificial intelligence , gene , theoretical computer science
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.