Literature DB >> 27935713

Symmetry-Directed Self-Organization in Peptide Nanoassemblies through Aromatic π-π Interactions.

Sajitha Sasidharan1, Prakash Kishore Hazam1, Vibin Ramakrishnan1.   

Abstract

Almost all biological systems are assemblies of one or more biomolecules from nano- to macrodimensions. Unlike inorganic molecules, peptide systems attune with the conceptual framework of aggregation models when forming nanoassemblies. Three significant recent theoretical models have indicated that nucleation, end-to-end association, and geometry of growth are determined primarily by the size and electrostatics of the individual basic building blocks. In this study, we tested six model systems, differentially modulating the prominence of three design variables, namely, aromatic π-π interactions, local electrostatics, and overall symmetry of the basic building unit. Our results indicate that the crucial design elements in a peptide-based nanoassembly are (a) a stable extended π-π interaction network, (b) size, and (c) overall symmetry of the basic building blocks. The six model systems represent all of the design variables in the best manner possible, considering the complexity of a biomolecule. The results provide important directives in deciding the morphology and crystallinity of peptide nanoassemblies.

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Year:  2017        PMID: 27935713     DOI: 10.1021/acs.jpcb.6b09474

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  3 in total

1.  Syndiotactic hexamer peptide nanodots.

Authors:  Vivek Prakash; B Mukesh; Sajitha Sasidharan; Amay Sanjay Redkar; Abhishek Roy; R Anandalakshmi; Vibin Ramakrishnan
Journal:  Eur Biophys J       Date:  2022-07-22       Impact factor: 2.095

2.  Minimalist De Novo Design of an Artificial Enzyme.

Authors:  Jahnu Saikia; Venugopal T Bhat; Lokeswara Rao Potnuru; Amay S Redkar; Vipin Agarwal; Vibin Ramakrishnan
Journal:  ACS Omega       Date:  2022-05-27

3.  Modulation of Peptide Based Nano-Assemblies with Electric and Magnetic Fields.

Authors:  Gaurav Pandey; Jahnu Saikia; Sajitha Sasidharan; Deep C Joshi; Subhash Thota; Harshal B Nemade; Nitin Chaudhary; Vibin Ramakrishnan
Journal:  Sci Rep       Date:  2017-06-02       Impact factor: 4.379

  3 in total

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