Gold Manno‐Glyconanoparticles: Multivalent Systems to Block HIV‐1 gp120 Binding to the Lectin DC‐SIGN

The HIV envelope glycoprotein gp120 takes advantage of the high‐mannose clusters on its surface to target the C‐type lectin dendritic cell‐specific intracellular adhesion molecule‐3‐grabbing non‐integrin (DC‐SIGN) on dendritic cells. Mimicking the cluster presentation of oligomannosides on the virus surface is a strategy for designing carbohydrate‐based antiviral agents. Bio‐inspired by the cluster presentation of gp120, we have designed and prepared a small library of multivalent water‐soluble gold glyconanoparticles (manno‐GNPs) presenting truncated (oligo)mannosides of the high‐mannose undecasaccharide Man₉GlcNAc₂ and have tested them as inhibitors of DC‐SIGN binding to gp120. These glyconanoparticles are ligands for DC‐SIGN, which also interacts in the early steps of infection with a large number of pathogens through specific recognition of associated glycans. (Oligo)mannosides endowed with different spacers ending in thiol groups, which enable attachment of the glycoconjugates to the gold surface, have been prepared. manno‐GNPs with different spacers and variable density of mannose (oligo)saccharides have been obtained and characterized. Surface plasmon resonance (SPR) experiments with selected manno‐GNPs have been performed to study their inhibition potency towards DC‐SIGN binding to gp120. The tested manno‐GNPs completely inhibit the binding from the micro‐ to the nanomolar range, while the corresponding monovalent mannosides require millimolar concentrations. manno‐GNPs containing the disaccharide Manα1‐2Manα are the best inhibitors, showing more than 20 000‐fold increased activity (100 % inhibition at 115 nM ) compared to the corresponding monomeric disaccharide (100 % inhibition at 2.2 mM ). Furthermore, increasing the density of dimannoside on the gold platform from 50 to 100 % does not improve the level of inhibition.     

Effect of Shear Flow on Nanoparticles Migration near Liquid Interfaces

The effect of shear flow on spherical nanoparticles (NPs) migration near a liquid–liquid interface is studied by numerical simulation. We have implemented a compact model through which we use the diffuse interface method for modeling the two fluids and the molecular dynamics method for the simulation of the motion of NPs. Two different cases regarding the state of the two fluids when introducing the NPs are investigated. First, we introduce the NPs randomly into the medium of the two immiscible liquids that are already separated, and the interface is formed between them. For this case, it is shown that before applying any shear flow, 30% of NPs are driven to the interface under the effect of the drag force resulting from the composition gradient between the two fluids at the interface. However, this percentage is increased to reach 66% under the effect of shear defined by a Péclet number Pe = 0.316. In this study, different shear rates are investigated in addition to different shearing times, and we show that both factors have a crucial effect regarding the migration of the NPs toward the interfacial region. In particular, a small shear rate applied for a long time will have approximately the same effect as a greater shear rate applied for a shorter time. In the second studied case, we introduce the NPs into the mixture of two fluids that are already mixed and before phase separation so that the NPs are introduced into the homogenous medium of the two fluids. For this case, we show that in the absence of shear, almost all NPs migrate to the interface during phase separation, whereas shearing has a negative result, mainly because it affects the phase separation.     

关于K个复相关矩阵相等的检验

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Metastable peaks of exponential shape

It is shown that a monotonically decreasing translational kinetic energy distribution predicted from the quasi-equilibrium theory for the unimolecular fragmentation ([CH₂CO]⁺˙→[CH₂]⁺˙ +CO) is reflected in an exponential shape for the metastable peak in contrast to the commonly observed Gaussian type profile.     

Simulations of the PDF functions for dilute colloidal suspensions of molecular particles flowing in mesopores with rough surface boundaries

Simulations have been carried out to analyze the dynamics of dilute colloidal suspensions of macromolecular particles in solutions flowing in pores, subject to hydrodynamic forces, Brownian motion and stochastic collisions at rough pore boundaries in a two-dimensional spatial frame. A theoretical model is developed and intensively analyzed for the treatment of the mechanical restitution of the particles due to dynamic collisions at these boundaries. In particular we are able to calculate the Probability distribution functions for the spatial positions and the orientations of rod-like particles inside the pores. The results are presented for different widths of pore channels referenced to the size of a rod-like particle. These simulations are general in the sense that they are developed for confining and open pore channels, rough at the nano scale. The simulations also permit calculating the nematic order parameters for colloidal suspensions; the model calculation is applied for dilute colloidal suspensions of carbon nano-tubes in an aqueous single-stranded DNA solution flowing inside pores. Our calculated nematic order results for dilute suspensions of particles of known lengths flowing inside porous systems should indicate, when coupled to birefringence and dichroism experimental results, the possibility to estimate the pore widths for these systems.     

Boëder PDF Brownian simulations for macromolecular rod-like particles near uneven solid surfaces

A molecular dynamics simulation is presented to calculate the Probability Distribution Functions (PDF) for the spatial positions and angular orientations of macromolecular rod-like particles in dilute solutions, under hydrodynamic flow, in the vicinity of uneven solid boundaries. The Brownian and hydrodynamic restitution model for ideally flat surfaces is generalized to simulate the diffusive collisions between the macromolecular particles and an uneven solid surface. Two types of uneven surfaces are particularly considered: the periodic grating and the random rough, with characteristic profiles of heights and lateral variations. Different from ideally flat surfaces, the simulation results demonstrate that uneven surfaces have characteristic depletion layers, and characteristic and variable PDF. This is the case under varying conditions of hydrodynamic flow, Brownian movement and diffusive collisions. These characteristics uniquely identify Boeder PDF signatures for the uneven surface topography.     

Robust delay-constrained routing in telecommunications

In telecommunications, operators usually use market surveys and statistical models to estimate traffic evolution in networks or to approximate queuing delay functions in routing strategies. Many research activities concentrated on handling traffic uncertainty in network design. Measurements on real world networks have shown significant errors in delay approximations, leading to weak management decisions in network planning. In this work, we introduce elements of robust optimization theory for delay modeling in routing problems. Different types of data uncertainty are considered and linked to corresponding robust models. We study a special case of constraints featuring separable additive functions. Specifically, we consider that each term of the sum is disturbed by a random parameter. These constraints are frequent in network based problems, where functions reflecting real world measurements on links are summed up over end-to-end paths. While classical robust formulations have to deal with the introduction of new variables, we show that, under specific hypotheses, the deterministic robust counterpart can be formulated in the space of original variables. This offers the possibility of constructing tractable robust models. Starting from Soyster’s conservative model, we write and compare different uncertainty sets and formulations offering each a different protection level for the delay constrained routing problem. Computational experiments are developed in order to evaluate the “price of robustness” and to assess the quality of the new formulations.