Needle in the haystack: structure-based toxin discovery

Abstract

In the current data-rich era, making the leap from sequence data to knowledge is a task that requires an elegant bioinformatics toolset to pinpoint pressing research questions. Therefore, a strategy to expand important protein-family knowledge is required, particularly in cases in which primary sequence identity is low but structural conservation is high. For example, the mono-ADP-ribosylating toxins fit these criteria and several approaches have been used to accelerate the discovery of new family members. The strategy evolved from conduction of PSI-BLAST searches through to the combination of secondary-structure prediction with pattern-based searches. However, a newly developed tactic, in which fold recognition dominates, reduces reliance on sequence similarity and advances scientists toward a true structure-based protein-family expansion methodology.