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From Protein Structure to Function with Bioinformatics.pdf

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144 B.H. Dessailly and C.A. Orengowhereas a biochemist would generally define the function of the protein he studies onthe basis of its molecular interactions or catalytic activity (e.g. “Recep<strong>to</strong>r-interactingserine/threonine-protein kinase”). Because of these different usages of the word, it isvery difficult <strong>to</strong> provide a universal and widely accepted definition of function.However, it is not essential <strong>to</strong> come up <strong>with</strong> such a definition. The GeneOn<strong>to</strong>logy (GO) consortium have proposed a framework <strong>with</strong> which they have beenable <strong>to</strong> define or, most importantly, categorise the functions of proteins in a widelyaccepted way (The Gene On<strong>to</strong>logy Consortium 2000). In GO, three differentaspects of function are considered and defined separately. According <strong>to</strong> GO, thecellular component describes the biological structures <strong>to</strong> which the protein belongs(e.g. nucleus or ribosome); the biological process corresponds <strong>to</strong> the processes orpathways in which the protein is involved (e.g. metabolism, signal transduction orcell differentiation); the molecular function of a protein is the ensemble of activitiesit can undertake (e.g. binding, catalysis or transport).Three-dimensional structures of proteins mostly shed light on catalytic mechanismsand potential interactions <strong>with</strong> other molecules, both aspects which are coveredby the molecular function category. Consequently, it is essentially molecularfunction that is considered when dealing <strong>with</strong> structure-function relationship as isthe case in this chapter.Several databases and annotation systems are available for the description of themolecular function of proteins (see Table 6.1), and are very helpful for studyingstructure-function relationships, notably on an au<strong>to</strong>mated basis. Probably the oldestsystem for describing the molecular function of proteins is the Enzyme Commissionnumbering scheme (EC) in which enzymatic reactions are hierarchically classifiedusing a four-digit system, where each level describes increasingly detailed aspectsof the reaction, from the general type of catalytic activity (oxidoreductase, hydrolase,etc.) <strong>to</strong> the specific molecule that acts as substrate of the reaction (NomenclatureCommittee of the IUBMB 1992). In order <strong>to</strong> address long-standing limitations of theEC classification, two new databases have recently been set up <strong>to</strong> classify enzymesand their reactions: EzCatDB (“Enzyme catalytic-mechanism Database”) (Nagano2005) and MACiE (“Mechanism, Annotation and Classification in Enzymes”)(Holliday et al. 2007). Both of these databases focus on the description and classificationof enzymatic reaction mechanisms rather than the reactions themselves, sinceit has been argued that a reaction-based classification like the EC system is not necessarilyappropriate as a classification of the corresponding enzymes (O’Boyle et al.2007). Complementary <strong>to</strong> these databases, the Catalytic Site Atlas provides detailedinformation on the specific amino acid residues that directly participate in catalyticmechanisms for enzymes of known structure (Porter et al. 2004). Several databasesprovide further description of all protein residues involved in binding biologicallyimportant molecules such as substrates and cofac<strong>to</strong>rs (Lopez et al. 2007; Dessaillyet al. 2008). Other widely-used annotation systems for protein function includeKEGG, which was initially aimed at describing metabolic pathways and biologicalreaction networks, and has now extended in<strong>to</strong> a more widely-scoped classificationsystem of biological functions (Kanehisa et al. 2008); and FUNCAT (the <strong>Function</strong>alCatalogue), which classifies protein functions in<strong>to</strong> a unique hierarchical tree

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