4.3 Article

Four-body contact potentials derived from two protein datasets to discriminate native structures from decoys

Journal

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume 68, Issue 1, Pages 57-66

Publisher

WILEY
DOI: 10.1002/prot.21362

Keywords

contact potential; two-body potential; four-body potential; Delauney tessellation (DT)

Funding

  1. NIGMS NIH HHS [R01 GM072014, R01-GM072014] Funding Source: Medline

Ask authors/readers for more resources

Two-body inter-residue contact potentials for proteins have often been extracted and extensively used for threading. Here, we have developed a new scheme to derive four-body contact potentials as a way to consider protein interactions in a more cooperative model. We use several datasets of protein native structures to demonstrate that around 500 chains are sufficient to provide a good estimate of these four-body contact potentials by obtaining convergent threading results. We also have deliberately chosen two sets of protein native structures differing in resolution, one with all chains' resolution better than 1.5 angstrom and the other with 94.2% of the structures having a resolution worse than 1.5 A to investigate whether potentials from well-refined protein datasets perform better in threading. However, potentials from well-refined proteins did not generate statistically significant better threading results. Our four-body contact potentials can discriminate well between native structures and partially unfolded or deliberately misfolded structures. Compared with another set of four-body contact potentials derived by using a Delaunay tessellation algorithm, our four-body contact potentials appear to offer a better characterization of the interactions between backbones and side chains and provide better threading results, somewhat complementary to those found using other potentials.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available