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advances-in-protein-chemistry

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where the <strong>in</strong>itial two levels, family and superfamily, illustrate close and distant evolutionary relationships where as the third<br />

fold describes geometrical relationships. The organization of prote<strong>in</strong>s <strong>in</strong> SCOP has been created by visual exam<strong>in</strong>ation<br />

and comparison of structures, which offers a possibility of most accurate and useful results keep<strong>in</strong>g <strong>in</strong> m<strong>in</strong>d the current<br />

limitations of purely automatic procedures. A prote<strong>in</strong> doma<strong>in</strong> represents the unit of classification. Small and medium sized<br />

prote<strong>in</strong>s have a s<strong>in</strong>gle doma<strong>in</strong> and are, therefore, treated as a whole where as the doma<strong>in</strong>s <strong>in</strong> large prote<strong>in</strong>s are generally<br />

classified separately [21].<br />

For each entry, SCOP provides l<strong>in</strong>ks to co-ord<strong>in</strong>ates, images of the structure, <strong>in</strong>teractive viewers, sequence data and<br />

literature references. The user can search the SCOP database by us<strong>in</strong>g two methods. The homology based search allows<br />

users to enter a sequence and get a list of structures to which it has significant levels of sequence similarity. The key word<br />

search method retrieves, matches from both the text of the SCOP database and the headers of PDB structure files [20]. The<br />

most update release (23 Feb 2009) conta<strong>in</strong>s 8221 PDB Entries, 110800 doma<strong>in</strong>s and 1 literature reference [http://scop.mrclmb.cam.ac.uk/scop/count.html#scop-1.75].<br />

2.2.1.3 CATH<br />

The CATH (Class, Architecture, Topology, Homology) database [22] is a hierarchical classification of prote<strong>in</strong> doma<strong>in</strong><br />

structures, us<strong>in</strong>g labor-<strong>in</strong>tensive curation supported by a range of classification and prediction algorithms; for <strong>in</strong>stance,<br />

structural comparison [23] and hidden-Markov model (HMM)-based methods [24]. Before splitt<strong>in</strong>g of constituent cha<strong>in</strong>s<br />

each prote<strong>in</strong> structure is verified to make certa<strong>in</strong> it meets the selection criteria. Consecutively, these cha<strong>in</strong>s are divided<br />

<strong>in</strong>to one or more <strong>in</strong>dividual doma<strong>in</strong>s and then classified <strong>in</strong>to homologous super families depend<strong>in</strong>g on their structure<br />

and function [25]. Top of the hierarchy is represented by the Class, or C-level, <strong>in</strong> which the doma<strong>in</strong>s are classified by their<br />

secondary structure content—i.e. Mostly alpha-helical (Class 1), mostly beta-sheet (Class 2), both alpha-helical and betasheet<br />

secondary structure elements (Class 3) or have very little secondary structure (Class 4).Inside each class, the doma<strong>in</strong>s<br />

are then classified based on their Architecture (A-level)—i.e. similarities <strong>in</strong> the arrangement of secondary structures <strong>in</strong> 3D<br />

space, which is further sub-divided <strong>in</strong>to one or more topology, or fold groups (T-level), where the connectivity between<br />

these secondary structures is taken <strong>in</strong>to account. Lastly, the doma<strong>in</strong>s are classified <strong>in</strong>to their particular Homologous super<br />

families (H-level), based on the similarities <strong>in</strong> structure, sequence and/or function. Sequence cluster<strong>in</strong>g at the H-level<br />

creates sequence families at

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