Splitting statistical potentials into meaningful scoring functions: testing the prediction of near-native structures from decoy conformations.

ABSTRACT:

Background

Recent advances on high-throughput technologies have produced a vast amount of protein sequences, while the number of high-resolution structures has seen a limited increase. This has impelled the production of many strategies to built protein structures from its sequence, generating a considerable amount of alternative models. The selection of the closest model to the native conformation has thus become crucial for structure prediction. Several methods have been developed to score protein models by energies, knowledge-based potentials and combination of both.

Results

Here, we present and demonstrate a theory to split the knowledge-based potentials in scoring terms biologically meaningful and to combine them in new scores to predict near-native structures. Our stra

SUBMITTER: Aloy P 

PROVIDER: S-EPMC2783033 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature