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A high level interface to SCOP and ASTRAL implemented in Python
Authors:James A Casbon  Gavin E Crooks  Mansoor AS Saqi
Institution:(1) Bioinformatics, Institute of Cell and Molecular Science, School of Medicine and Dentistry, Queen Mary, University of London, Charterhouse Square, London, EC1 6BQ, UK;(2) Department of Plant and Microbial Biology, University of California, Berkeley, USA
Abstract:

Background  

Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP database is a manually curated structural classification which groups together proteins on the basis of structural similarity. The ASTRAL compendium provides non redundant subsets of SCOP domains on the basis of sequence similarity such that no two domains in a given subset share more than a defined degree of sequence similarity. Taken together these two resources provide a 'ground truth' for assessing structural bioinformatics algorithms. We present a small and easy to use API written in python to enable construction of datasets from these resources.
Keywords:
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