Journal article

Fast and accurate protein substructure searching with simulated annealing and GPUs

AD Stivala, PJ Stuckey, AI Wirth

BMC Bioinformatics | Published : 2010

Open access

Abstract

Background: Searching a database of protein structures for matches to a query structure, or occurrences of a structural motif, is an important task in structural biology and bioinformatics. While there are many existing methods for structural similarity searching, faster and more accurate approaches are still required, and few current methods are capable of substructure (motif) searching.Results: We developed an improved heuristic for tableau-based protein structure and substructure searching using simulated annealing, that is as fast or faster and comparable in accuracy, with some widely used existing methods. Furthermore, we created a parallel implementation on a modern graphics processing..

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University of Melbourne Researchers

Grants

Funding Acknowledgements

This research made use of the Victorian Partnership for Advanced Computing HPC facility and support services. AS is supported by an Australian Postgraduate Award. NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council.