Meta-analytic approach to the accurate prediction of secreted virulence effectors in gram-negative bacteria.

ABSTRACT:

Background

Many pathogens use a type III secretion system to translocate virulence proteins (called effectors) in order to adapt to the host environment. To date, many prediction tools for effector identification have been developed. However, these tools are insufficiently accurate for producing a list of putative effectors that can be applied directly for labor-intensive experimental verification. This also suggests that important features of effectors have yet to be fully characterized.

Results

In this study, we have constructed an accurate approach to predicting secreted virulence effectors from Gram-negative bacteria. This consists of a support vector machine-based discriminant analysis followed by a simple criteria-based filtering. The accuracy was assessed by estimatin

SUBMITTER: Sato Y 

PROVIDER: S-EPMC3240867 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature