scholarly journals Co-assembly and multicomponent hydrogel formation upon mixing nucleobase-containing peptides

Nanoscale ◽  
2021 ◽  
Author(s):  
Tristan Giraud ◽  
Sabine Bouguet-Bonnet ◽  
Marie-José Stébé ◽  
Lionel Richaudeau ◽  
Guillaume Pickaert ◽  
...  

Peptide-based hydrogels are physical gels formed through specific supramolecular self-assembling processes, leading to ordered nanostructures which constitutes the water entrapping scaffold of the soft material. Thanks to the inherent properties...

2017 ◽  
Vol 18 (7) ◽  
pp. 2013-2023 ◽  
Author(s):  
V. Castelletto ◽  
A. Kaur ◽  
R. M. Kowalczyk ◽  
I. W. Hamley ◽  
M. Reza ◽  
...  

2013 ◽  
Vol 113 (17) ◽  
pp. 17B516 ◽  
Author(s):  
Paola Tiberto ◽  
Gabriele Barrera ◽  
Luca Boarino ◽  
Federica Celegato ◽  
Marco Coïsson ◽  
...  

2013 ◽  
Vol 66 (5) ◽  
pp. 572 ◽  
Author(s):  
Richard J. Williams ◽  
James Gardiner ◽  
Anders B. Sorensen ◽  
Silvia Marchesan ◽  
Roger J. Mulder ◽  
...  

The early stages of the self-assembly of peptide hydrogels largely determine their final material properties. Here we discuss experimental methodologies for monitoring the self-assembly kinetics which underpin peptide hydrogel formation. The early stage assembly of an enzyme-catalysed Fmoc-trileucine based self-assembled hydrogel was examined using spectroscopic techniques (circular dichroism, CD, and solution NMR) as well as chromatographic (HPLC) and mechanical (rheology) techniques. Optimal conditions for enzyme-assisted hydrogel formation were identified and the kinetics examined. A lag time associated with the formation and accumulation of the self-assembling peptide monomer was observed and a minimum hydrogelator concentration required for gelation was identified. Subsequent formation of well defined nano- and microscale structures lead to self-supporting hydrogels at a range of substrate and enzyme concentrations. 1H NMR monitoring of the early self-assembly process revealed trends that were well in agreement with those identified using traditional methods (i.e. HPLC, CD, rheology) demonstrating 1H NMR spectroscopy can be used to non-invasively monitor the self-assembly of peptide hydrogels without damaging or perturbing the system.


2021 ◽  
Author(s):  
Sayuri L. Higashi ◽  
Masato Ikeda

Stimuli-responsive supramolecular hydrogels are a newly emerging class of aqueous soft materials with a wide variety of bioapplications. Here we report a reduction-responsive supramolecular hydrogel constructed from a markedly simple low-molecular-weight hydrogelator, which is developed on the basis of modular molecular design containing a hydrophilic amino sugar and a reduction-responsive nitrophenyl group. The hydrogel formation ability differs significantly between glucosamine- and galactosamine-based self-assembling molecules, which are epimers at the C4 position, and only the glucosamine-based derivative can act as a hydrogelator.


Author(s):  
Jean-Marc Crowet ◽  
Mehmet Nail Nasir ◽  
Antoine Deschamps ◽  
Vincent Stroobant ◽  
Pierre Morsomme ◽  
...  

By manipulating the various physico-chemical properties of amino acids, design of peptides with specific self-assembling properties has been emerging since more than a decade. In this context, short peptides possessing detergent properties (so-called “peptergents”) have been developed to self-assemble into well-ordered nanostructures that can stabilize membrane proteins for crystallization. In this study, the peptide with “peptergency” properties, called ADA8 extensively described by Zhang et al., is studied by molecular dynamics for its self-assembling properties in different conditions. In water, it spontaneously forms beta sheets with a β barrel-like structure. We next simulated the interaction of this peptide with a membrane protein, the bacteriorhodopsin, in the presence or absence of a micelle of dodecylphosphocholine. According to the literature, the peptergent ADA8 is thought to generate a belt of β structures around the hydrophobic helical domain that could help stabilize purified membrane proteins. Molecular dynamics is here used to challenge this view and to provide further molecular details for the replacement of detergent molecules around the protein. To our best knowledge, this is the first molecular mechanism proposed for ''peptergency''. In addition, our calculation approach should serve as a predicting tool for the design of beta peptergent with diverse amphipathic properties.


2018 ◽  
Vol 19 (9) ◽  
pp. 2772 ◽  
Author(s):  
Jean Crowet ◽  
Mehmet Nasir ◽  
Nicolas Dony ◽  
Antoine Deschamps ◽  
Vincent Stroobant ◽  
...  

By manipulating the various physicochemical properties of amino acids, the design of peptides with specific self-assembling properties has been emerging for more than a decade. In this context, short peptides possessing detergent properties (so-called “peptergents”) have been developed to self-assemble into well-ordered nanostructures that can stabilize membrane proteins for crystallization. In this study, the peptide with “peptergency” properties, called ADA8 and extensively described by Tao et al., is studied by molecular dynamic simulations for its self-assembling properties in different conditions. In water, it spontaneously forms beta sheets with a β barrel-like structure. We next simulated the interaction of this peptide with a membrane protein, the bacteriorhodopsin, in the presence or absence of a micelle of dodecylphosphocholine. According to the literature, the peptergent ADA8 is thought to generate a belt of β structures around the hydrophobic helical domain that could help stabilize purified membrane proteins. Molecular dynamic simulations are here used to image this mechanism and provide further molecular details for the replacement of detergent molecules around the protein. In addition, we generalized this behavior by designing an amphipathic peptide with beta propensity, which was called ABZ12. Both peptides are able to surround the membrane protein and displace surfactant molecules. To our best knowledge, this is the first molecular mechanism proposed for “peptergency”.


Langmuir ◽  
2001 ◽  
Vol 17 (15) ◽  
pp. 4490-4492 ◽  
Author(s):  
Marius Kölbel ◽  
Fredric M. Menger

2014 ◽  
Vol 6 (4) ◽  
pp. 2948-2957 ◽  
Author(s):  
Yuan Xiong ◽  
Kun Yan ◽  
William E. Bentley ◽  
Hongbing Deng ◽  
Yumin Du ◽  
...  

2010 ◽  
Vol 43 (18) ◽  
pp. 7800-7806 ◽  
Author(s):  
Thomas J. Measey ◽  
Reinhard Schweitzer-Stenner ◽  
Vijoya Sa ◽  
Konstantin Kornev

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