Evolutionary screening and adsorption behavior of engineered M13 bacteriophage and derived dodecapeptide for selective decoration of gold interfaces.
J Colloid Interface Sci
; 389(1): 220-9, 2013 Jan 01.
Article
em En
| MEDLINE
| ID: mdl-23031494
ABSTRACT
There is a growing interest in identifying biomacromolecules such as proteins and peptides to functionalize metallic surfaces through noncovalent binding. One method for functionalizing materials without fundamentally changing their inherent structure is using biorecognition moieties. Here, we proved a general route to select a biomolecule adhesive motif for surface functionalization by comprehensively screening phage displayed peptides. In particular, we selected a genetically engineered M13 bacteriophage and a linear dodecapeptide derived from its pIII domain for recognizing gold surfaces in a specific and selective manner. In the phage context, we demonstrated the adhesive motif was capable to adsorb on gold in a preferential way with a morphological and viscoelastic signature of the adsorbed layer as evidenced by QCM-D and AFM investigations. Out of the phage context, the linear dodecapeptide is reproducibly found to adhere to the gold surface, and by quantitative SPR measurements, high affinity constants (K(eq)~10(6)M(-1), binding energy ~-8 kcal/mol) were determined. We proved that the interactions occurring at gold interface were mainly hydrophobic as a consequence of high frequency of hydrophobic residues in the peptide sequence. Moreover, by CD, molecular dynamics and steered molecular dynamics, we demonstrated that the molecular flexibility only played a minor role in the peptide adsorption. Such noncovalent but specific modification of inorganic surfaces through high affinity biomolecule adsorption represents a general strategy to modulate the functionality of multipurpose metallic surfaces.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Peptídeos
/
Bacteriófago M13
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Biblioteca de Peptídeos
/
Ouro
Tipo de estudo:
Diagnostic_studies
/
Screening_studies
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article