UNIGE document Scientific Article
previous document  unige:84109  next document
add to browser collection
Title

Polypeptide-Nanoparticle Interactions and Corona Formation Investigated by Monte Carlo Simulations

Authors
Published in Polymers. 2016, vol. 8, no. 6, p. 203
Abstract Biomacromolecule activity is usually related to its ability to keep a specific structure. However, in solution, many parameters (pH, ionic strength) and external compounds (polyelectrolytes, nanoparticles) can modify biomacromolecule structure as well as acid/base properties, thus resulting in a loss of activity and denaturation. In this paper, the impact of neutral and charged nanoparticles (NPs) is investigated by Monte Carlo simulations on polypeptide (PP) chains with primary structure based on bovine serum albumin. The influence of pH, salt valency, and NP surface charge density is systematically studied. It is found that the PP is extended at extreme pH, when no complex formation is observed, and folded at physiological pH. PP adsorption around oppositely-charged NPs strongly limits chain structural changes and modifies its acid/base properties. At physiological pH, the complex formation occurs only with positively-charged NPs. The presence of salts, in particular those with trivalent cations, introduces additional electrostatic interactions, resulting in a mitigation of the impact of negative NPs. Thus, the corona structure is less dense with locally-desorbed segments. On the contrary, very limited impact of salt cation valency is observed when NPs are positive, due to the absence of competitive effects between multivalent cations and NP.
Keywords Nanoparticle complexationPolypeptide adsorptionPolypeptide coronaAcid/base propertiesMonte Carlo simulations
Identifiers
Full text
Structures
Research groups Environmental Physical Chemistry
ISE Eau
ISE Pôle Sciences
Project FP7: NanoMILE
Citation
(ISO format)
CARNAL, Fabrice, CLAVIER, Arnaud, STOLL, Serge. Polypeptide-Nanoparticle Interactions and Corona Formation Investigated by Monte Carlo Simulations. In: Polymers, 2016, vol. 8, n° 6, p. 203. https://archive-ouverte.unige.ch/unige:84109

214 hits

61 downloads

Update

Deposited on : 2016-06-01

Export document
Format :
Citation style :