A conformation ensemble approach to protein residue-residue contact |
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Authors: | Jesse Eickholt Zheng Wang Jianlin Cheng |
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Affiliation: | 1. Department of Computer Science, University of Missouri, Columbia, MO, 65211, USA 2. Informatics Institute, University of Missouri, Columbia, MO, 65211, USA 3. C. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
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Abstract: | Background Protein residue-residue contact prediction is important for protein model generation and model evaluation. Here we develop a conformation ensemble approach to improve residue-residue contact prediction. We collect a number of structural models stemming from a variety of methods and implementations. The various models capture slightly different conformations and contain complementary information which can be pooled together to capture recurrent, and therefore more likely, residue-residue contacts. Results We applied our conformation ensemble approach to free modeling targets from both CASP8 and CASP9. Given a diverse ensemble of models, the method is able to achieve accuracies of. 48 for the top L/5 medium range contacts and. 36 for the top L/5 long range contacts for CASP8 targets (L being the target domain length). When applied to targets from CASP9, the accuracies of the top L/5 medium and long range contact predictions were. 34 and. 30 respectively. Conclusions When operating on a moderately diverse ensemble of models, the conformation ensemble approach is an effective means to identify medium and long range residue-residue contacts. An immediate benefit of the method is that when tied with a scoring scheme, it can be used to successfully rank models. |
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