Unknown

Dataset Information

A highly accurate statistical approach for the prediction of transmembrane beta-barrels.


ABSTRACT:

Motivation

Transmembrane beta-barrels (TMBBs) belong to a special structural class of proteins predominately found in the outer membranes of Gram-negative bacteria, mitochondria and chloroplasts. TMBBs are surface-exposed proteins that perform a variety of functions ranging from nutrient acquisition to osmotic regulation. These properties suggest that TMBBs have great potential for use in vaccine or drug therapy development. However, membrane proteins, such as TMBBs, are notoriously difficult to identify and characterize using traditional experimental approaches and current prediction methods are still unreliable.

Results

A prediction method based on the physicochemical properties of experimentally characterized TMBB structures was developed to predict TMBB-encoding genes fr

SUBMITTER: Freeman TC 

PROVIDER: S-EPMC2916714 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature