STRALCP--structure alignment-based clustering of proteins.

ABSTRACT: Protein structural annotation and classification is an important and challenging problem in bioinformatics. Research towards analysis of sequence-structure correspondences is critical for better understanding of a protein's structure, function, and its interaction with other molecules. Clustering of protein domains based on their structural similarities provides valuable information for protein classification schemes. In this article, we attempt to determine whether structure information alone is sufficient to adequately classify protein structures. We present an algorithm that identifies regions of structural similarity within a given set of protein structures, and uses those regions for clustering. In our approach, called STRALCP (STRucture ALignment-based Clustering of Proteins), we gen

SUBMITTER: Zemla A 

PROVIDER: S-EPMC2190701 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature