Identification of group specific motifs in beta-lactamase family of proteins.

ABSTRACT:

Background

Beta-lactamases are one of the most serious threats to public health. In order to combat this threat we need to study the molecular and functional diversity of these enzymes and identify signatures specific to these enzymes. These signatures will enable us to develop inhibitors and diagnostic probes specific to lactamases. The existing classification of beta-lactamases was developed nearly 30 years ago when few lactamases were available. DLact database contain more than 2000 beta-lactamase, which can be used to study the molecular diversity and to identify signatures specific to this family.

Methods

A set of 2020 beta-lactamase proteins available in the DLact database http://59.160.102.202/DLact were classified using graph-based clustering of Best Bi-Directional H

SUBMITTER: Singh R 

PROVIDER: S-EPMC2793256 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature