Using computer simulations, we systematically studied the influence of different design
parameters of a spherical nanoparticle tethered with monovalent ligands on its efficiency of …

Using Monte Carlo simulations, we analyze the efficiency in targeting mobile receptors on
cell surfaces by nanoparticles carrying multivalent (divalent, tetravalent) ligands. We show …

Nanoparticle delivery systems have good application prospects in the treatment of various
diseases, especially in cancer treatment. The effect of drug delivery is regulated by the …

Ligand-functionalized nanoparticles capable of selectively binding to diseased versus
healthy cell populations are attractive for improved efficacy of nanoparticle-based drug and …

Multivalent nanoparticle binding to cells can be of picomolar avidity making such
interactions almost as intense as those seen with antibodies. However, reducing …

Selectivity of interactions between nanoparticles functionalized by tethered ligands and cell
surfaces with different densities of receptors plays an essential role in biorecognition and its …

Dissipative particle dynamics simulations are applied to study nanoparticle targeting to a cell
surface containing a high concentration of receptors. We found that the normalized number …

Taking a nanoparticle (NP) from discovery to clinical translation has been slow compared to
small molecules, in part by the lack of systems that enable their precise engineering and …

A key challenge in the treatment of cancer with nanomedicine is to engineer and select
nanoparticle formulations that lead to the desired selectivity between tumorigenic and non …

Understandings of how biomolecules modify nanoparticles in a biological context and how
these exchanges impact nano-biointeractions are fundamental to nanomedicine and …