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Functionally important segments in proteins dissected using Gene Ontology and geometric clustering of peptide fragments.


ABSTRACT: We have developed a geometric clustering algorithm using backbone phi,psi angles to group conformationally similar peptide fragments of any length. By labeling each fragment in the cluster with the level-specific Gene Ontology 'molecular function' term of its protein, we are able to compute statistics for molecular function-propensity and p-value of individual fragments in the cluster. Clustering-cum-statistical analysis for peptide fragments 8 residues in length and with only trans peptide bonds shows that molecular function propensities > or =20 and p-values < or =0.05 can dissect fragments within a protein linked to the molecular function.

SUBMITTER: Manikandan K 

PROVIDER: S-EPMC2397504 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature

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Functionally important segments in proteins dissected using Gene Ontology and geometric clustering of peptide fragments.

Manikandan Karuppasamy K   Pal Debnath D   Ramakumar Suryanarayanarao S   Brener Nathan E NE   Iyengar Sitharama S SS   Seetharaman Guna G  

Genome biology 20080310 3


We have developed a geometric clustering algorithm using backbone phi,psi angles to group conformationally similar peptide fragments of any length. By labeling each fragment in the cluster with the level-specific Gene Ontology 'molecular function' term of its protein, we are able to compute statistics for molecular function-propensity and p-value of individual fragments in the cluster. Clustering-cum-statistical analysis for peptide fragments 8 residues in length and with only trans peptide bond  ...[more]

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