48
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Structural study of the Fox-1 RRM protein hydration reveals a role for key water molecules in RRM-RNA recognition

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The Fox-1 RNA recognition motif (RRM) domain is an important member of the RRM protein family. We report a 1.8 Å X-ray structure of the free Fox-1 containing six distinct monomers. We use this and the nuclear magnetic resonance (NMR) structure of the Fox-1 protein/RNA complex for molecular dynamics (MD) analyses of the structured hydration. The individual monomers of the X-ray structure show diverse hydration patterns, however, MD excellently reproduces the most occupied hydration sites. Simulations of the protein/RNA complex show hydration consistent with the isolated protein complemented by hydration sites specific to the protein/RNA interface. MD predicts intricate hydration sites with water-binding times extending up to hundreds of nanoseconds. We characterize two of them using NMR spectroscopy, RNA binding with switchSENSE and free-energy calculations of mutant proteins. Both hydration sites are experimentally confirmed and their abolishment reduces the binding free-energy. A quantitative agreement between theory and experiment is achieved for the S155A substitution but not for the S122A mutant. The S155 hydration site is evolutionarily conserved within the RRM domains. In conclusion, MD is an effective tool for predicting and interpreting the hydration patterns of protein/RNA complexes. Hydration is not easily detectable in NMR experiments but can affect stability of protein/RNA complexes.

          Related collections

          Most cited references71

          • Record: found
          • Abstract: found
          • Article: not found

          Knowledge-based protein secondary structure assignment.

          We have developed an automatic algorithm STRIDE for protein secondary structure assignment from atomic coordinates based on the combined use of hydrogen bond energy and statistically derived backbone torsional angle information. Parameters of the pattern recognition procedure were optimized using designations provided by the crystallographers as a standard-of-truth. Comparison to the currently most widely used technique DSSP by Kabsch and Sander (Biopolymers 22:2577-2637, 1983) shows that STRIDE and DSSP assign secondary structural states in 58 and 31% of 226 protein chains in our data sample, respectively, in greater agreement with the specific residue-by-residue definitions provided by the discoverers of the structures while in 11% of the chains, the assignments are the same. STRIDE delineates every 11th helix and every 32nd strand more in accord with published assignments.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Building Water Models: A Different Approach

            Simplified classical water models are currently an indispensable component in practical atomistic simulations. Yet, despite several decades of intense research, these models are still far from perfect. Presented here is an alternative approach to constructing widely used point charge water models. In contrast to the conventional approach, we do not impose any geometry constraints on the model other than the symmetry. Instead, we optimize the distribution of point charges to best describe the “electrostatics” of the water molecule. The resulting “optimal” 3-charge, 4-point rigid water model (OPC) reproduces a comprehensive set of bulk properties significantly more accurately than commonly used rigid models: average error relative to experiment is 0.76%. Close agreement with experiment holds over a wide range of temperatures. The improvements in the proposed model extend beyond bulk properties: compared to common rigid models, predicted hydration free energies of small molecules using OPC are uniformly closer to experiment, with root-mean-square error <1 kcal/mol.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              RNA recognition motifs: boring? Not quite.

              The RNA recognition motif (RRM) is one of the most abundant protein domains in eukaryotes. While the structure of this domain is well characterized by the packing of two alpha-helices on a four-stranded beta-sheet, the mode of protein and RNA recognition by RRMs is not clear owing to the high variability of these interactions. Here we report recent structural data on RRM-RNA and RRM-protein interactions showing the ability of this domain to modulate its binding affinity and specificity using each of its constitutive elements (beta-strands, loops, alpha-helices). The extreme structural versatility of the RRM interactions explains why RRM-containing proteins have so diverse biological functions.
                Bookmark

                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                27 July 2017
                13 May 2017
                13 May 2017
                : 45
                : 13
                : 8046-8063
                Affiliations
                [1 ]Institute of Biophysics, Academy of Sciences of the Czech Republic, Kralovopolska 135, 612 65 Brno, Czech Republic
                [2 ]Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science, Palacky University Olomouc, 17. listopadu 12, 771 46 Olomouc, Czech Republic
                [3 ]Institute of Molecular Biology and Biophysics, Department of Biology, ETH Zurich, CH-8093 Zurich, Switzerland
                [4 ]Present address: Global Discovery Chemistry, Novartis Institute for BioMedical Research, Basel CH-4002, Switzerland
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +420 541 517 266; Fax: +420 541 212 179; Email: miroslav.krepl@ 123456upol.cz . Correspondence may also be addressed to Frédéric H.T. Allain. Tel: +41 44 633 39 40; Fax: +41 44 633 12 94; Email: allain@ 123456mol.biol.ethz.ch . Correspondence may also be addressed to Jiri Sponer. Tel: +420 549 49 8219; Fax: +420 541 212 179; Email: sponer@ 123456ncbr.muni.cz
                []These authors contributed equally to the paper as first authors.
                Article
                gkx418
                10.1093/nar/gkx418
                5737849
                28505313
                85e9fa38-45f8-4718-bef4-a3daa5e4595f
                © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 02 May 2017
                : 26 April 2017
                : 18 January 2017
                Page count
                Pages: 18
                Categories
                Structural Biology

                Genetics
                Genetics

                Comments

                Comment on this article