Functionally important segments in proteins dissected using Gene Ontology and geometric clustering o
March 16th, 2008 | by admin |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 labelling each fragment in the cluster with level-specific Gene Ontology molecular function (MF) term of its protein, we are able to compute statistics for MF-propensity and p-value of individual fragments in the cluster. Clustering-cum-statistical analysis for 8-length-trans-peptide fragments shows MF-propensities greater-than-equal-to 20 and p-values less-than-equal-to 0.05 can dissect fragments within a protein linked to the MF.
Karuppasamy M, Pal D, Suryanarayanarao R, Brener NE, Iyengar SS, Seetharaman G.