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From Protein Structure to Function with Bioinformatics.pdf

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3 Comparative <strong>Protein</strong> <strong>Structure</strong> Modelling 77Fig. 3.3 Residue energy, using a pairwise statistical potential, is plotted as a function of sequentialresidue positions for two alternative models of the same protein. Negative (blue colour) andpositive (red colour) energies indicate energetically favourable and unfavourable residue environments,respectively. The energy profiles correspond <strong>to</strong> the models shown on the right <strong>with</strong> theinaccurate model placed above the more accurate model. Corresponding parts in the models andenergy profiles use the same colour coding scheme while a colourless trace represents the actualexperimental structure3.3 Performance of Comparative Modelling3.3.1 Accuracy of MethodsAn informative way <strong>to</strong> test protein structure modelling methods, including comparativemodelling, is provided by the biennial meetings on Critical Assessment ofTechniques for <strong>Protein</strong> <strong>Structure</strong> Prediction (CASP) (Moult 2005). <strong>Protein</strong> modellersare challenged <strong>to</strong> model sequences <strong>with</strong> unknown 3D structure and <strong>to</strong> submittheir models <strong>to</strong> the organizers before the meeting. At the same time, the 3D structuresof the prediction targets are being determined by X-ray crystallography orNMR methods. They only become available after the models are calculated andsubmitted. Thus, a bona fide evaluation of protein structure modelling methods ispossible, although in these exercises it is not trivial <strong>to</strong> separate the contributionsfrom programs and human expert knowledge.Alternatively a large scale, continuous, and au<strong>to</strong>mated prediction benchmarkingexperiment is implemented in the program EVA – EValuation of Au<strong>to</strong>matic proteinstructure prediction (Eyrich et al. 2001). Every week EVA submits pre-releasedPDB sequences <strong>to</strong> participating modelling servers, collects the results and providesdetailed statistics on secondary structure prediction, fold recognition, comparativemodelling, and prediction on 3D contacts. The LiveBench program has implementedits evaluations in a similar spirit (Bujnicki et al. 2001).

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