상세 정보

underline
Metadata Downloads : dc(xml) or Excel
Cited 0 time in scopus ci

Title 

MELDB: a database for microbial esterases and lipases

Authors 

Ho-Young KangJihyun KimMyung Hee KimSeung Hwan ParkTae Kwang OhCheol-Goo Hur

Publisher 

Elsevier

Issue Date 

2006

Citation 

FEBS Letters, vol. 580, no. 11, pp. 2736-2740

Keywords 

domainfamilyidentification systemmicrobial esterasemicrobial lipasemotifesterasehydrolasemicrobial enzymetriacylglycerol lipase

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.

ISSN 

0014-5793

Link 

http://dx.doi.org/10.1016/j.febslet.2006.04.034

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


There are no files associated with this item.
qrcode

FusionCharts.
DSpace Software Coptright(c) 2010 MIT and Hewleft-Packard  /  KRIBB-REPOSITORY ( Email:jakim@kribb.re.kr)