A framework for protein structure classification and identification of novel protein structures.

ABSTRACT:

Background

Protein structure classification plays a central role in understanding the function of a protein molecule with respect to all known proteins in a structure database. With the rapid increase in the number of new protein structures, the need for automated and accurate methods for protein classification is increasingly important.

Results

In this paper we present a unified framework for protein structure classification and identification of novel protein structures. The framework consists of a set of components for comparing, classifying, and clustering protein structures. These components allow us to accurately classify proteins into known folds, to detect new protein folds, and to provide a way of clustering the new folds. In our evaluation with SCOP 1.69, our metho

SUBMITTER: Kim YJ 

PROVIDER: S-EPMC1622760 | biostudies-literature | 2006 Oct

REPOSITORIES: biostudies-literature