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A toolkit and benchmark study for FRET-restrained high-precision structural modeling

Stanislav Kalinin*, Thomas Peulen, Simon Sindbert, Paul J. Rothwell, Sylvia Berger, Tobias Restle, Roger S. Goody, Holger Gohlke, Claus A.M. Seidel

*Corresponding author for this work

    Abstract

    We present a comprehensive toolkit for Förster resonance energy transfer (FRET)-restrained modeling of biomolecules and their complexes for quantitative applications in structural biology. A dramatic improvement in the precision of FRET-derived structures is achieved by explicitly considering spatial distributions of dye positions, which greatly reduces uncertainties due to flexible dye linkers. The precision and confidence levels of the models are calculated by rigorous error estimation. The accuracy of this approach is demonstrated by docking a DNA primer-template to HIV-1 reverse transcriptase. The derived model agrees with the known X-ray structure with an r.m.s. deviation of 0.5 Å. Furthermore, we introduce FRET-guided 'screening' of a large structural ensemble created by molecular dynamics simulations. We used this hybrid approach to determine the formerly unknown configuration of the flexible single-strand template overhang.

    Original languageEnglish
    JournalNature Methods
    Volume9
    Issue number12
    Pages (from-to)1218-1225
    Number of pages8
    ISSN1548-7091
    DOIs
    Publication statusPublished - 01.12.2012

    Funding

    We dedicate this paper to the memory of our brilliant colleague, Robert M. Clegg, a pioneer in the application of FRET in the life sciences and a remarkable human being. We would like to thank E. Schweinberger, O. Kensch and B.M. Wöhrl for assistance with the experiments, E. Haustein for analytical software, H. Sanabria for help with data visualization and A. Scheidig for helpful discussions. We acknowledge financial support from the Volkswagen Foundation (to R.S.G. and C.A.M.S.; grant no. I/74470), Max-Planck Society (to R.S.G.), German Federal Ministry of Education and Research (BMBF) (BioFuture grant no. 0311865) and German Science Foundation within SPP 1258 (grant no. SE 1195/12-2) (to C.A.M.S.) and ‘Fit for Excellence’ initiative of HHU (to H.G.). T.P. thanks the International Helmholtz Research School of Biophysics and Soft Matter (IHRS BioSoft), and S.S. thanks the NRW Research School of Biological Structures in Molecular Medicine and Biotechnology (BioStruct) for scholarships.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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