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Dissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifs.


ABSTRACT: BACKGROUND: One of the strategies for protein function annotation is to search particular structural motifs that are known to be shared by proteins with a given function. RESULTS: Here, we present a systematic extraction of structural motifs of seven residues from protein loops and we explore their correspondence with functional sites. Our approach is based on the structural alphabet HMM-SA (Hidden Markov Model - Structural Alphabet), which allows simplification of protein structures into uni-dimensional sequences, and advanced pattern statistics adapted to short sequences. Structural motifs of interest are selected by looking for structural motifs significantly over-represented in SCOP superfamilies in protein loops. We discovered two types of structural motifs significantly over-represented in SCOP superfamilies: (i) ubiquitous motifs, shared by several superfamilies and (ii) superfamily-specific motifs, over-represented in few superfamilies. A comparison of ubiquitous words with known small structural motifs shows that they contain well-described motifs as turn, niche or nest motifs. A comparison between superfamily-specific motifs and biological annotations of Swiss-Prot reveals that some of them actually correspond to functional sites involved in the binding sites of small ligands, such as ATP/GTP, NAD(P) and SAH/SAM. CONCLUSIONS: Our findings show that statistical over-representation in SCOP superfamilies is linked to functional features. The detection of over-represented motifs within structures simplified by HMM-SA is therefore a promising approach for prediction of functional sites and annotation of uncharacterized proteins.

SUBMITTER: Regad L 

PROVIDER: S-EPMC3158783 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Dissecting protein loops with a statistical scalpel suggests a functional implication of some structural motifs.

Regad Leslie L   Martin Juliette J   Camproux Anne-Claude AC  

BMC bioinformatics 20110620


<h4>Background</h4>One of the strategies for protein function annotation is to search particular structural motifs that are known to be shared by proteins with a given function.<h4>Results</h4>Here, we present a systematic extraction of structural motifs of seven residues from protein loops and we explore their correspondence with functional sites. Our approach is based on the structural alphabet HMM-SA (Hidden Markov Model - Structural Alphabet), which allows simplification of protein structure  ...[more]

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