MetaMQAP: a meta-server for the quality assessment of protein models.

ABSTRACT:

Background

Computational models of protein structure are usually inaccurate and exhibit significant deviations from the true structure. The utility of models depends on the degree of these deviations. A number of predictive methods have been developed to discriminate between the globally incorrect and approximately correct models. However, only a few methods predict correctness of different parts of computational models. Several Model Quality Assessment Programs (MQAPs) have been developed to detect local inaccuracies in unrefined crystallographic models, but it is not known if they are useful for computational models, which usually exhibit different and much more severe errors.

Results

The ability to identify local errors in models was tested for eight MQAPs: VERIFY3D, PROS

SUBMITTER: Pawlowski M 

PROVIDER: S-EPMC2573893 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature