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From Protein Structure to Function with Bioinformatics.pdf

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Chapter 11Case Studies: <strong>Function</strong> Predictionsof Structural Genomics ResultsJames D. Watson and Janet M. Thorn<strong>to</strong>nAbstract The development of high-throughput protein structure determinationpipelines by the various Structural Genomics initiatives around the globe hasresulted in the deposition of several thousand protein structures in the <strong>Protein</strong> DataBank. However, due <strong>to</strong> the nature of the target selection process and the requirementfor rapid data release, a significant proportion of these structures have little orno functional information. In order <strong>to</strong> address this problem a vast array of computationalmethods have been developed <strong>to</strong> predict a protein’s function from its threedimensional structure. The approaches range from large scale fold comparison <strong>to</strong>highly specific residue templates, each <strong>with</strong> its own advantages and disadvantages.Here we look at the application of these methods in Structural Genomics andreview attempts <strong>to</strong> determine how successful function prediction from structure hasbeen, <strong>with</strong> specific examples illustrating some of the success s<strong>to</strong>ries.11.1 IntroductionGenome sequencing projects around the globe have already provided enormousamounts of data on the genes that are essential <strong>to</strong> a number of organisms, and thisinformation is expanding rapidly <strong>with</strong> the large-scale metagenomics projects currentlyunder way (Yooseph et al. 2007). By comparison, the amount of proteinstructure data available lags far behind. Structural genomics aims <strong>to</strong> bridge thisgap by solving, in a high-throughput manner, a large number of novel structuresthat can be used <strong>to</strong> model a larger number of sequences (Fox et al. 2008; Service2005). A consequence of this approach has been the deposition of large numbersof structures <strong>with</strong> little or no functional annotation. This is in direct contrast <strong>to</strong>traditional structural biology where the function of a protein is often known inadvance and the structure is often solved <strong>to</strong> identify the biochemical mechanismsand unique subtleties of its action.J.D. Watson and J.M. Thorn<strong>to</strong>n*European <strong>Bioinformatics</strong> Institute, Wellcome Trust Genome Campus, Hinx<strong>to</strong>n,Cambridgeshire, CB10 1SD, UK*Corresponding author: e-mail: thorn<strong>to</strong>n@ebi.ac.ukD.J. Rigden (ed.) <strong>From</strong> <strong>Protein</strong> <strong>Structure</strong> <strong>to</strong> <strong>Function</strong> <strong>with</strong> <strong>Bioinformatics</strong>, 273© Springer Science + Business Media B.V. 2009

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