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From Protein Structure to Function with Bioinformatics.pdf

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10 Integrated Servers for <strong>Structure</strong>-Informed <strong>Function</strong> Prediction 26710.3.1.6 PDBsum Structural AnalysesAlthough not strictly relevant <strong>to</strong> function prediction, a useful side effect of submittinga structure <strong>to</strong> ProFunc is that a set of PDBsum pages are also generated for it.PDBsum is a largely pic<strong>to</strong>rial protein structure atlas at http://www.ebi.ac.uk/pdbsumthat performs a number of structural analyses on the submitted protein and illustratesthe results using various schematic diagrams (Laskowski et al. 2005a). A couple ofexamples are given in Fig. 10.8.10.3.2 Assessment of the Structural MethodsHow good are the structural methods at predicting protein function? The authors ofProFunc tried <strong>to</strong> answer this question by applying ProFunc <strong>to</strong> 92 models of proteinsof known function solved by the MCSG (Watson et al. 2007). In each case theProFunc predictions were adjusted <strong>to</strong> remove information from structures releasedafter the deposition of the given MCSG structure <strong>to</strong> better reflect what could havebeen predicted at the time of the structure’s deposition. The analysis showed that70% would have had their functions correctly assigned had the ProFunc server beenavailable at the time, <strong>with</strong> the correct predictions for over three-quarters of thesecoming from more than a single method.The two most successful of the structure based methods were the SSM foldcomparison method and the reverse templates. Both had a success rate of 50–60%.In fact, in most cases the two methods had the same <strong>to</strong>p matches, although occasionallyone method found a correct match that the other did not. This may suggestthat, as the two methods gave such similar results, all you really need is aFig. 10.8 (continued)

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