Publications by authors named "Daniel Stopper"

In this study, we synthesized and evaluated novel histone deacetylase (HDAC) inhibitors derived from the clinical candidate quisinostat. A library of 16 compounds categorized in three novel chemotypes was rapidly generated using multicomponent reactions (MCRs), enabling efficient structure-activity relationship studies. First, the compounds were evaluated for their activity against the Plasmodium falciparum strains 3D7 and Dd2, the main malaria-causing parasite, identifying compound 18b of the type C series as the most potent.

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Dynamics of epigenetic modifications such as acetylation and deacetylation of histone proteins have been shown to be crucial for the life cycle development and survival of Plasmodium falciparum, the deadliest malaria parasite. In this study, we present a novel series of peptoid-based histone deacetylase (HDAC) inhibitors incorporating nitrogen-containing bicyclic heteroaryl residues as a new generation of antiplasmodial peptoid-based HDAC inhibitors. We synthesized the HDAC inhibitors by an efficient multicomponent protocol based on the Ugi four-component reaction.

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Article Synopsis
  • Artemisinin-based combination therapies (ACTs) are the standard treatment for malaria, but their effectiveness is declining due to increasing parasite resistance.
  • Researchers created and tested a new series of hybrid molecules that combine dihydroartemisinin with histone deacetylase inhibitors (HDACis) to target malaria and leukemia.
  • The results showed these hybrid compounds were highly effective against both artemisinin-resistant malaria parasites and various leukemia cell lines, indicating potential for new drug development.
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In all areas related to protein adsorption, from medicine to biotechnology to heterogeneous nucleation, the question about its dominant forces and control arises. In this study, we used ellipsometry and quartz-crystal microbalance with dissipation (QCM-D), as well as density-functional theory (DFT) to obtain insight into the mechanism behind a wetting transition of a protein solution. We established that using multivalent ions in a net negatively charged globular protein solution (BSA) can either cause simple adsorption on a negatively charged interface, or a (diverging) wetting layer when approaching liquid-liquid phase separation (LLPS) by changing protein concentration (c) or temperature (T).

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For a standard model of patchy colloidal fluids with patch number M = 2, where chain formation (polymerization) occurs, we show that Wertheim theory predicts critical behavior at vanishing density and temperature. The analysis is based on determining lines in the phase diagram of maximal correlation length and compressibility. Simulation studies identify the latter line and confirm our prediction of Fisher-Widom crossover, i.

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Article Synopsis
  • The study explores how attractive and repulsive forces between particles in simple fluids affect their phase behavior and structural properties, particularly through pair correlation functions.
  • It examines the decay patterns of the total correlation function h(r) and how these patterns differ based on whether attractive forces dominate over repulsive forces.
  • A new thermodynamic criterion, which approximates the Fisher-Widom line within phase diagrams, is proposed and tested using four models of simple fluids, demonstrating its relevance in understanding fluid behavior.
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We investigate bulk structural properties of tetravalent associating particles within the framework of classical density functional theory, building upon Wertheim's thermodynamic perturbation theory. To this end, we calculate density profiles within an effective test-particle geometry and compare to radial distribution functions obtained from computer simulations. We demonstrate that a modified version of the functional proposed by Yu and Wu [J.

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By means of classical density functional theory and its dynamical extension, we consider a colloidal fluid with spherically symmetric competing interactions, which are well known to exhibit a rich bulk phase behavior. This includes complex three-dimensional periodically ordered cluster phases such as lamellae, two-dimensional hexagonally packed cylinders, gyroid structures, or spherical micelles. While the bulk phase behavior has been studied extensively in earlier work, in this paper we focus on such structures confined between planar repulsive walls under shear flow.

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  • Scientists used a special theory, called DDFT, to study how small hard disks (like balls) move and relax when packed closely together.
  • They looked at both theoretical results and real-life experiments and found they matched well when the disks weren't too tightly packed.
  • However, when the disks were packed really tight, the experiments showed different results from the theory, especially because the liquids around them had strong effects on how they moved.
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Using classical density functional theory, we investigate systems exhibiting interactions where a short-range anisotropic attractive force competes with a long-range spherically symmetric repulsive force. The former is modelled within Wertheim's first-order perturbation theory for patchy particles, and the repulsive part is assumed to be a Yukawa potential which is taken into account via a mean-field approximation. From previous studies of systems with spherically symmetric competing interactions, it is well known that such systems can exhibit stable bulk cluster phases (microphase separation) provided that the repulsion is sufficiently weak compared to the attraction.

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Article Synopsis
  • Protein adsorption at solid-liquid interfaces is crucial in biological processes, but the detailed mechanisms behind it remain largely unexplored.! -
  • The research uses multivalent ions to control the adsorption of negatively charged proteins (like bovine serum albumin) at these interfaces, demonstrating this through various experimental techniques like ellipsometry and neutron reflectivity.! -
  • The study reveals a complex relationship between salt concentration and protein adsorption, explained by a model that connects bulk behavior to surface interactions, which may have broader implications for understanding processes like nucleation at interfaces.!
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In this paper, we discuss the ability to numerically minimize the grand potential of hard disks in two-dimensional and of hard spheres in three-dimensional space within the framework of classical density functional and fundamental measure theory on modern graphics cards. Our main finding is that a massively parallel minimization leads to an enormous performance gain in comparison to standard sequential minimization schemes. Furthermore, the results indicate that in complex multi-dimensional situations, a heavy parallel minimization of the grand potential seems to be mandatory in order to reach a reasonable balance between accuracy and computational cost.

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Within the Asakura-Oosawa model, we study structural relaxation in mixtures of colloids and polymers subject to Brownian motion in the overdamped limit. We obtain the time evolution of the self and distinct parts of the van Hove distribution function G(r,t) by means of dynamical density functional theory (DDFT) using an accurate free-energy functional based on Rosenfeld's fundamental measure theory. In order to remove unphysical interactions within the self part, we extend the recently proposed quenched functional framework (Stopper et al 2015 J.

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We study structural relaxation of colloidal hard spheres undergoing Brownian motion using dynamical density functional theory. Contrary to the partial linearization route [D. Stopper et al.

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Article Synopsis
  • - We examine how hard sphere colloids behave under Brownian motion, focusing on their movement in a dense fluid (overdamped limit) using advanced theoretical techniques.
  • - Our analysis utilizes the White Bear II model of Rosenfeld's fundamental measure theory to accurately describe the fluid's free energy, but requires a complex adjustment to handle interactions in the self-part of the van Hove function.
  • - We validate our theory by comparing it to results from dynamical Monte Carlo simulations, finding consistency even at high densities (packing fractions up to 40%).
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