Literature DB >> 27929192

Elucidating the influence of materials-binding peptide sequence on Au surface interactions and colloidal stability of Au nanoparticles.

Zak E Hughes1, Michelle A Nguyen, Yue Li, Mark T Swihart, Tiffany R Walsh, Marc R Knecht.   

Abstract

Peptide-mediated synthesis and assembly of nanostructures opens new routes to functional inorganic/organic hybrid materials. However, understanding of the many factors that influence the interaction of biomolecules, specifically peptides, with metal surfaces remains limited. Understanding of the relationship between peptide sequence and resulting binding affinity and configurations would allow predictive design of peptides to achieve desired peptide/metal interface characteristics. Here, we measured the kinetics and thermodynamics of binding on a Au surface for a series of peptide sequences designed to probe specific sequence and context effects. For example, context effects were explored by making the same mutation at different positions in the peptide and by rearranging the peptide sequence without changing the amino acid content. The degree of peptide-surface contact, predicted from advanced molecular simulations of the surface-adsorbed structures, was consistent with the measured binding constants. In simulations, the ensemble of peptide backbone conformations showed little change with point mutations of the anchor residues that dominate interaction with the surface. Peptide-capped Au nanoparticles were produced using each sequence. Comparison of simulations with nanoparticle synthesis results revealed a correlation between the colloidal stability of the Au nanoparticles and the degree of structural disorder in the surface-adsorbed peptide structures for this family of sequences. These findings suggest new directions in the optimization and design of biomolecules for in situ peptide-based nanoparticle growth, binding, and dispersion in aqueous media.

Entities:  

Year:  2016        PMID: 27929192     DOI: 10.1039/c6nr07890g

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  3 in total

1.  Mechanistic insights into the pH-dependent membrane peptide ATRAM.

Authors:  Vanessa P Nguyen; Loganathan Palanikumar; Stephen J Kennel; Daiane S Alves; Yujie Ye; Jonathan S Wall; Mazin Magzoub; Francisco N Barrera
Journal:  J Control Release       Date:  2019-02-11       Impact factor: 9.776

2.  A Machine Learning Classification Model for Gold-Binding Peptides.

Authors:  Jose Isagani B Janairo
Journal:  ACS Omega       Date:  2022-04-11

3.  Controlled synthesis of highly-branched plasmonic gold nanoparticles through peptoid engineering.

Authors:  Feng Yan; Lili Liu; Tiffany R Walsh; Yu Gong; Patrick Z El-Khoury; Yanyan Zhang; Zihua Zhu; James J De Yoreo; Mark H Engelhard; Xin Zhang; Chun-Long Chen
Journal:  Nat Commun       Date:  2018-06-13       Impact factor: 14.919

  3 in total

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