SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.

ABSTRACT:

Background

Protein structure prediction methods provide accurate results when a homologous protein is predicted, while poorer predictions are obtained in the absence of homologous templates. However, some protein chains that share twilight-zone pairwise identity can form similar folds and thus determining structural similarity without the sequence similarity would be desirable for the structure prediction. The folding type of a protein or its domain is defined as the structural class. Current structural class prediction methods that predict the four structural classes defined in SCOP provide up to 63% accuracy for the datasets in which sequence identity of any pair of sequences belongs to the twilight-zone. We propose SCPRED method that improves prediction accuracy for sequences th

SUBMITTER: Kurgan L 

PROVIDER: S-EPMC2391167 | biostudies-literature | 2008 May

REPOSITORIES: biostudies-literature