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Dong S, Leng J, Feng Y, Liu M, Stackhouse CJ, Schönhals A, Chiappisi L, Gao L, Chen W, Shang J, Jin L, Qi Z, Schalley CA. Structural water as an essential comonomer in supramolecular polymerization. Sci Adv 2017; 3:eaao0900. [PMID: 29152571 PMCID: PMC5687854 DOI: 10.1126/sciadv.aao0900] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 10/27/2017] [Indexed: 05/18/2023]
Abstract
Although the concept of structural water that is bound inside hydrophobic pockets and helps to stabilize protein structures is well established, water has rarely found a similar role in supramolecular polymers. Water is often used as a solvent for supramolecular polymerization, however without taking the role of a comonomer for the supramolecular polymer structure. We report a low-molecular weight monomer whose supramolecular polymerization is triggered by the incorporation of water. The presence of water molecules as comonomers is essential to the polymerization process. The supramolecular polymeric material exhibits strong adhesion to surfaces, such as glass and paper. It can be used as a water-activated glue, which can be released at higher temperatures and reused many times without losing its performance.
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Affiliation(s)
- Shengyi Dong
- College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, Hunan, P.R. China
| | - Jing Leng
- Bundesanstalt für Materialforschung und -prüfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany
| | - Yexin Feng
- School of Physics and Electronics, Hunan University, Changsha 410082, Hunan, P.R. China
| | - Ming Liu
- Department of Chemistry and Centre for Materials Discovery, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Chloe J. Stackhouse
- Department of Chemistry and Centre for Materials Discovery, University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | - Andreas Schönhals
- Bundesanstalt für Materialforschung und -prüfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany
| | - Leonardo Chiappisi
- Institut Max von Laue–Paul Langevin, Large Scale Structures Group, 71 Avenue des Martyrs, 38042 Grenoble Cedex 9, France
- Stranski Laboratorium für Physikalische Chemie und Theoretische Chemie, Institut für Chemie, Technische Universität Berlin, Straße des 17. Juni 124, Sekr. TC7, D-10623 Berlin, Germany
| | - Lingyan Gao
- Institut für Chemie und Biochemie, Freie Universität Berlin, Takustrasse 3, 14195 Berlin, Germany
| | - Wei Chen
- Department of Pharmaceutical Engineering, China Pharmaceutical University, Nanjing 210009, P.R. China
| | - Jie Shang
- Sino-German Joint Research Lab for Space Biomaterials and Translational Technology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi 710072, P.R. China
| | - Lin Jin
- Sino-German Joint Research Lab for Space Biomaterials and Translational Technology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi 710072, P.R. China
| | - Zhenhui Qi
- Sino-German Joint Research Lab for Space Biomaterials and Translational Technology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi 710072, P.R. China
| | - Christoph A. Schalley
- Institut für Chemie und Biochemie, Freie Universität Berlin, Takustrasse 3, 14195 Berlin, Germany
- Sino-German Joint Research Lab for Space Biomaterials and Translational Technology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi 710072, P.R. China
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Pulido A, Chen L, Kaczorowski T, Holden D, Little MA, Chong SY, Slater BJ, McMahon DP, Bonillo B, Stackhouse CJ, Stephenson A, Kane CM, Clowes R, Hasell T, Cooper AI, Day GM. Functional materials discovery using energy-structure-function maps. Nature 2017; 543:657-664. [PMID: 28329756 PMCID: PMC5458805 DOI: 10.1038/nature21419] [Citation(s) in RCA: 239] [Impact Index Per Article: 34.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 01/20/2017] [Indexed: 12/24/2022]
Abstract
Molecular crystals cannot be designed in the same manner as macroscopic objects, because they do not assemble according to simple, intuitive rules. Their structures result from the balance of many weak interactions, rather than from the strong and predictable bonding patterns found in metal-organic frameworks and covalent organic frameworks. Hence, design strategies that assume a topology or other structural blueprint will often fail. Here we combine computational crystal structure prediction and property prediction to build energy-structure-function maps that describe the possible structures and properties that are available to a candidate molecule. Using these maps, we identify a highly porous solid, which has the lowest density reported for a molecular crystal so far. Both the structure of the crystal and its physical properties, such as methane storage capacity and guest-molecule selectivity, are predicted using the molecular structure as the only input. More generally, energy-structure-function maps could be used to guide the experimental discovery of materials with any target function that can be calculated from predicted crystal structures, such as electronic structure or mechanical properties.
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Affiliation(s)
- Angeles Pulido
- Computational Systems Chemistry, School of Chemistry, University of Southampton, Southampton, UK
| | - Linjiang Chen
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | | | - Daniel Holden
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Marc A Little
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | | | | | - David P McMahon
- Computational Systems Chemistry, School of Chemistry, University of Southampton, Southampton, UK
| | | | | | | | | | - Rob Clowes
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Tom Hasell
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Andrew I Cooper
- Department of Chemistry, University of Liverpool, Liverpool, UK
| | - Graeme M Day
- Computational Systems Chemistry, School of Chemistry, University of Southampton, Southampton, UK
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Abstract
We have presented evidence that a mouse monoclonal antibody 1,227, which was previously shown to recognize a determinant on the light chains beta 1 and beta 2 of human Ia antigens, also recognizes a determinant on the invariant chain (1) associated with these molecules. Ia-specific proteins were resolved by two-dimensional (2D) PAGE and electrophoretically transferred onto nitrocellulose filters. The presence of a determinant shared between beta 1, beta 2 and I was established using "Western blotting" technique. In addition, we demonstrated that 1,227 can immunoprecipitate isolated beta 1, beta 2, and the invariant chain proteins following their separate elution from SDS-PAGE.
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