Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure.

ABSTRACT:

Background

The present knowledge of protein structures at atomic level derives from some 60,000 molecules. Yet the exponential ever growing set of hypothetical protein sequences comprises some 10 million chains and this makes the problem of protein structure prediction one of the challenging goals of bioinformatics. In this context, the protein representation with contact maps is an intermediate step of fold recognition and constitutes the input of contact map predictors. However contact map representations require fast and reliable methods to reconstruct the specific folding of the protein backbone.

Methods

In this paper, by adopting a GRID technology, our algorithm for 3D reconstruction FT-COMAR is benchmarked on a huge set of non redundant proteins (1716) taking random no

SUBMITTER: Vassura M 

PROVIDER: S-EPMC3033854 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature