Prediction of flexible/rigid regions from protein sequences using k-spaced amino acid pairs.

ABSTRACT:

Background

Traditionally, it is believed that the native structure of a protein corresponds to a global minimum of its free energy. However, with the growing number of known tertiary (3D) protein structures, researchers have discovered that some proteins can alter their structures in response to a change in their surroundings or with the help of other proteins or ligands. Such structural shifts play a crucial role with respect to the protein function. To this end, we propose a machine learning method for the prediction of the flexible/rigid regions of proteins (referred to as FlexRP); the method is based on a novel sequence representation and feature selection. Knowledge of the flexible/rigid regions may provide insights into the protein folding process and the 3D structure predict

SUBMITTER: Chen K 

PROVIDER: S-EPMC1863424 | biostudies-literature | 2007 Apr

REPOSITORIES: biostudies-literature