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From Protein Structure to Function with Bioinformatics.pdf

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2 Fold Recognition 29It has long been clear that similar protein sequences fold <strong>to</strong> similar structures.Thus, given a novel protein sequence whose structure we require, henceforthknown as the ‘query’, we simply have <strong>to</strong> check if any other similar sequence <strong>with</strong>a known structure has already been solved. If the sequences are highly similar thenthis detection process is quite straightforward using simple alignment techniques.Using a simple measure of the similarity of amino acid types, such as the BLOSUMscoring matrix, coupled <strong>with</strong> a dynamic programming algorithm such as Smith-Waterman, one can rapidly and optimally (according <strong>to</strong> the scoring function) aligntwo sequences.Given an alignment between a sequence and a known structure, henceforthknown as the ‘template’, one can then build a crude model by simply copying thecorresponding three-dimensional coordinates of the template and re-labelling theamino acids in accordance <strong>with</strong> the equivalent residues from the alignment (Fig. 2.1).The model can be further refined using a slew of techniques described in the homologyFig. 2.1 Car<strong>to</strong>on representation of simple model building by query-template alignment. Thesequence of the known structure (‘Known sequence’) is shown aligned <strong>to</strong> the query sequence.Dashes represent insertions and deletions. Red letters indicate residue substitutions. Residue typeare coloured according <strong>to</strong> biophysical properties. Thin wavy lines connect equivalent positions inthe query and template

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