Protein Corona on Gold Nanoparticles Studied with Coarse-Grained Simulations

Langmuir ◽  
2020 ◽  
Vol 36 (44) ◽  
pp. 13356-13363
Author(s):  
Md Symon Jahan Sajib ◽  
Pranab Sarker ◽  
Yong Wei ◽  
Xiuping Tao ◽  
Tao Wei
2020 ◽  
Author(s):  
Md Symon Jahan Sajib ◽  
Pranab Sarker ◽  
Yong Wei ◽  
Xiuping Tao ◽  
Tao Wei

2021 ◽  
Vol 22 (16) ◽  
pp. 8722
Author(s):  
Francesco Tavanti ◽  
Maria Cristina Menziani

Protein interactions with engineered gold nanoparticles (AuNPs) and the consequent formation of the protein corona are very relevant and poorly understood biological phenomena. The nanoparticle coverage affects protein binding modalities, and the adsorbed protein sites influence interactions with other macromolecules and cells. Here, we studied four common blood proteins, i.e., hemoglobin, serum albumin, α1-antiproteinase, and complement C3, interacting with AuNPs covered by hydrophobic 11-mercapto-1-undecanesulfonate (MUS). We use Molecular Dynamics and the Martini coarse−grained model to gain quantitative insight into the kinetics of the interaction, the physico-chemical characteristics of the binding site, and the nanoparticle adsorption capacity. Results show that proteins bind to MUS−capped AuNPs through strong hydrophobic interactions and that they adapt to the AuNP surfaces to maximize the contact surface, but no dramatic change in the secondary structure of the proteins is observed. We suggest a new method to calculate the maximum adsorption capacity of capped AuNPs based on the effective surface covered by each protein, which better represents the realistic behavior of these systems.


2020 ◽  
Author(s):  
Sabeeha Hasnain ◽  
Mauro Lorenzo Mugnai ◽  
Dave Thirumalai

Substantial increase in the temporal resolution of the stepping of dimeric molec- ular motors is possible by tracking the position of a large gold nanoparticle (GNP) attached to a labeled site on one of the heads. This technique was used to measure the stepping trajectories of conventional kinesin (Kin1) using the time dependent position of the GNP as a proxy. The trajectories revealed that the detached head always passes to the right of the head that is tightly bound to the microtubule (MT) during a step. In interpreting the results of such experiments, it is implicitly assumed that the GNP does not significantly alter the diffusive motion of the detached head. We used coarse-grained simulations of a system consisting of the MT-Kin1 complex with and without attached GNP to investigate how the stepping trajectories are affected. The two significant findings are: (1) The GNP does not faithfully track the position of the stepping head. (2) The rightward bias is typically exaggerated by the GNP. Both these findings depend on the precise residue position to which the GNP is attached. Surprisingly, we predict that the stepping trajectories of kinesin are not significantly affected if, in addition to the GNP, a 1 μm diameter cargo is attached to the coiled coil. Our simulations suggest the effects of the large probe have to be considered when inferring the stepping mechanisms using GNP tracking experiments.


Soft Matter ◽  
2016 ◽  
Vol 12 (14) ◽  
pp. 3352-3359 ◽  
Author(s):  
Xuebo Quan ◽  
ChunWang Peng ◽  
Jiaqi Dong ◽  
Jian Zhou

Phase transfer of polymer brush-grafted gold nanoparticles across the oil–water interface.


2019 ◽  
Author(s):  
Jonas Landsgesell ◽  
Oleg Rud ◽  
Pascal Hebbeker ◽  
Raju Lunkad ◽  
Peter Košovan ◽  
...  

We introduce the grand-reaction method for coarse-grained simulations of acid-base equilibria in a system coupled to a reservoir at a given pH and concentration of added salt. It can be viewed as an extension of the constant-pH method and the reaction ensemble, combining explicit simulations of reactions within the system, and grand-canonical exchange of particles with the reservoir. Unlike the previously introduced methods, the grand-reaction method is applicable to acid-base equilibria in the whole pH range because it avoids known artifacts. However, the method is more general, and can be used for simulations of any reactive system coupled to a reservoir of a known composition. To demonstrate the advantages of the grand-reaction method, we simulated a model system: A solution of weak polyelectrolytes in equilibrium with a buffer solution. By carefully accounting for the exchange of all constituents, the method ensures that all chemical potentials are equal in the system and in the multi-component reservoir. Thus, the grand-reaction method is able to predict non-monotonic swelling of weak polyelectrolytes as a function of pH, that has been known from mean-field predictions and from experiments but has never been observed in coarse-grained simulations. Finally, we outline possible extensions and further generalizations of the method, and provide a set of guidelines to enable safe usage of the method by a broad community of users.<br><br>


2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Laura Orellana ◽  
Ozge Yoluk ◽  
Oliver Carrillo ◽  
Modesto Orozco ◽  
Erik Lindahl

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