title: Structural classification of insecticidal proteins - Towards an in silico characterisation of novel toxins.
abstract: The increasing rate of discovery of new toxins with potential for the control of invertebrate pests through next generation sequencing, presents challenges for the identification of the best candidates for further development. A consideration of structural similarities between the different toxins suggest that they may be functionally less diverse than their low sequence similarities might predict. This is encouraging from the prospective of being able to use computational tools to predict toxin targets from their sequences, however more structure/function data are still required to reliably inform such predictions.
authors.affiliation: Cardiff School of Biosciences, Cardiff University, Park Place, Cardiff CF10 3AT, UK. Electronic address: Berry@cf.ac.uk.
authors.forename: Colin
authors.initials: C
authors.lastname: Berry
authors.affiliation: School of Life Sciences, University of Sussex, Falmer, Brighton BN1 9QG, UK.
authors.forename: Neil
authors.initials: N
authors.lastname: Crickmore
mesh_terms: D001426:Bacterial Proteins; D004731:Endotoxins / Q000737:chemistry*; D007306:Insecticides / Q000737:chemistry*; D010572:Pest Control, Biological / Q000379:methods; D011487:Protein Conformation; D013329:Structure-Activity Relationship
chemical_list: D001426:Bacterial Proteins; D004731:Endotoxins; D007306:Insecticides
keywords: Bacillus thuringiensis; Cry toxin; Lysinibacillus sphaericus