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      Mechanically rigid supramolecular assemblies formed from an Fmoc-guanine conjugated peptide nucleic acid

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          Abstract

          The variety and complexity of DNA-based structures make them attractive candidates for nanotechnology, yet insufficient stability and mechanical rigidity, compared to polyamide-based molecules, limit their application. Here, we combine the advantages of polyamide materials and the structural patterns inspired by nucleic-acids to generate a mechanically rigid fluorenylmethyloxycarbonyl (Fmoc)-guanine peptide nucleic acid (PNA) conjugate with diverse morphology and photoluminescent properties. The assembly possesses a unique atomic structure, with each guanine head of one molecule hydrogen bonded to the Fmoc carbonyl tail of another molecule, generating a non-planar cyclic quartet arrangement. This structure exhibits an average stiffness of 69.6 ± 6.8 N m −1 and Young’s modulus of 17.8 ± 2.5 GPa, higher than any previously reported nucleic acid derived structure. This data suggests that the unique cation-free “basket” formed by the Fmoc-G-PNA conjugate can serve as an attractive component for the design of new materials based on PNA self-assembly for nanotechnology applications.

          Abstract

          DNA is an attractive nanomaterial, yet limited compared to polyamides due to low stability and mechanical issues. Here, the authors combine polyamide and DNA characteristics to form mechanically rigid self-assembled peptide nucleic acid based materials with high stiffness and Young’s modulus.

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          Most cited references72

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          Generalized Gradient Approximation Made Simple

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            TOPAS and TOPAS-Academic: an optimization program integrating computer algebra and crystallographic objects written in C++

            TOPAS and its academic variant TOPAS-Academic are nonlinear least-squares optimization programs written in the C++ programming language. This paper describes their functionality and architecture. The latter is of benefit to developers seeking to reduce development time. TOPAS allows linear and nonlinear constraints through the use of computer algebra, with parameter dependencies, required for parameter derivatives, automatically determined. In addition, the objective function can include restraints and penalties, which again are defined using computer algebra. Of importance is a conjugate gradient solution routine with bounding constraints which guide refinements to convergence. Much of the functionality of TOPAS is achieved through the use of generic functionality; for example, flexible peak-shape generation allows neutron time-of-flight (TOF) peak shapes to be described using generic functions. The kernel of TOPAS can be run from the command line for batch mode operation or from a closely integrated graphical user interface. The functionality of TOPAS includes peak fitting, Pawley and Le Bail refinement, Rietveld refinement, single-crystal refinement, pair distribution function refinement, magnetic structures, constant wavelength neutron refinement, TOF refinement, stacking-fault analysis, Laue refinement, indexing, charge flipping, and structure solution through simulated annealing.
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              Symmetry-general least-squares extraction of elastic data for strained materials fromab initiocalculations of stress

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                Author and article information

                Contributors
                ehudg@post.tau.ac.il
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                20 November 2019
                20 November 2019
                2019
                : 10
                : 5256
                Affiliations
                [1 ]ISNI 0000 0004 1937 0546, GRID grid.12136.37, Department of Molecular Microbiology and Biotechnology, George S. Wise Faculty of Life Sciences, , Tel Aviv University, ; 69978 Tel Aviv, Israel
                [2 ]ISNI 0000 0001 2314 964X, GRID grid.41156.37, Collaborative Innovation Center of Advanced Microstructures, National Laboratory of Solid State Microstructure, Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education, Department of Physics, , Nanjing University, ; 210093 Nanjing, People’s Republic of China
                [3 ]ISNI 0000 0004 0604 7563, GRID grid.13992.30, Department of Materials and Interfaces, , Weizmann Institute of Science, ; 76100 Rehovoth, Israel
                [4 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, Department of Physics, State Key Laboratory of Surface Physics, Key Laboratory for Computational Physical Sciences (MOE), , Fudan University, ; 200433 Shanghai, People’s Republic of China
                [5 ]ISNI 0000 0004 0604 7563, GRID grid.13992.30, Department of Chemical Research Support, , Weizmann Institute of Science, ; 76100 Rehovoth, Israel
                [6 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Howard Hughes Medical Institute, UCLA-DOE Institute, Departments of Biological Chemistry and Chemistry and Biochemistry, , University of California, Los Angeles, ; Los Angeles, CA 90095 USA
                [7 ]ISNI 0000 0004 1937 0511, GRID grid.7489.2, Ilse Katz Institute for Nanotechnology, , Ben Gurion University of the Negev, ; 84105 Beer Sheva, Israel
                Author information
                http://orcid.org/0000-0003-3459-5324
                http://orcid.org/0000-0002-4830-552X
                http://orcid.org/0000-0002-2976-5547
                http://orcid.org/0000-0003-3899-5181
                http://orcid.org/0000-0002-7861-9247
                http://orcid.org/0000-0003-0874-9043
                http://orcid.org/0000-0003-2432-5419
                http://orcid.org/0000-0003-1493-7868
                http://orcid.org/0000-0001-5764-1720
                Article
                13250
                10.1038/s41467-019-13250-x
                6868146
                31748568
                796325be-1565-4c91-bc6d-f10fd7532ae5
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 31 March 2019
                : 23 October 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 694426
                Award Recipient :
                Categories
                Article
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                © The Author(s) 2019

                Uncategorized
                chemistry,materials science,nanoscience and technology
                Uncategorized
                chemistry, materials science, nanoscience and technology

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