3D-Jury: A simple approach to improve protein structure predictions

Krzysztof Ginalski, Arne Elofsson, Daniel Fischer, Leszek Rychlewski

Research output: Contribution to journalArticlepeer-review

654 Scopus citations

Abstract

Motivation: Consensus structure prediction methods (meta-predictors) have higher accuracy than individual structure prediction algorithms (their components). The goal for the development of the 3D-Jury system is to create a simple but powerful procedure for generating meta-predictions using variable sets of models obtained from diverse sources. The resulting protocol should help to improve the quality of structural annotations of novel proteins. Results: The 3D-Jury system generates meta-predictions from sets of models created using variable methods. It is not necessary to know prior characteristics of the methods. The system is able to utilize immediately new components (additional prediction providers). The accuracy of the system is comparable with other well-tuned prediction servers. The algorithm resembles methods of selecting models generated using ab initio folding simulations. It is simple and offers a portable solution to improve the accuracy of other protein structure prediction protocols.

Original languageEnglish
Pages (from-to)1015-1018
Number of pages4
JournalBioinformatics
Volume19
Issue number8
DOIs
StatePublished - 22 May 2003

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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