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Proteins. 2008 May 1;71(2):950-9.

Using scores derived from statistical coupling analysis to distinguish correct and incorrect folds in de-novo protein structure prediction.

Author information

1
Division of Mathematical Biology, National Institute of Medical Research, The Ridgeway, Mill Hill, London NW7 4BB, United Kingdom. gbartle@nimr.mrc.ac.uk

Abstract

Distinguishing native from non-native folds remains a challenging problem for protein structure prediction. We describe a method, SCA-distance scoring, based on results from statistical coupling analysis which discriminates between native and non-native folds produced by a de novo protein structure prediction method for four out of five test proteins. The method is particularly good at discriminating non-native folds which are close in RMSD to the true fold but contain a change in an internal structural element. SCA-distance scoring is a useful addition to the tools available for distinguishing native from non-native folds in protein structure prediction.

PMID:
18004776
DOI:
10.1002/prot.21779
[Indexed for MEDLINE]

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