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Nanoparticles with multiple ligands have been proposed for use in nanomedicine. The multiple targeting ligands on each nanoparticle can bind to several locations on a cell surface facilitating both drug targeting and uptake. Experiments…

Mesoscale and Nanoscale Physics · Physics 2015-05-18 Jack N. Waddell , Douglas G. Mullen , Bradford G. Orr , Mark M. Banaszak Holl , Leonard M. Sander

We investigate the adsorption of a flexible polymer at a hexagonally patterned monolayer. All conformational polymer phases are identified, which enables the construction of a hyperphase diagram, parameterized by temperature and monolayer…

Soft Condensed Matter · Physics 2019-12-03 Benjamin Liewehr , Michael Bachmann

Multivalent particles competing for binding on the same surface can exhibit switch-like behaviour, depending on the concentration of receptors on the surface. When the receptor concentration is low, energy dominates the free energy of…

Soft Condensed Matter · Physics 2016-08-24 Nicholas B. Tito , Daan Frenkel

A key phase in the bridge design process is the selection of the structural system. Due to budget and time constraints, engineers typically rely on engineering judgment and prior experience when selecting a structural system, often…

Machine Learning · Statistics 2018-03-14 Achyuthan Jootoo , David Lattanzi

Motivated by the fine compositional control observed in membraneless droplet organelles in cells, we investigate how a sharp binding-unbinding transition can occur between multivalent client molecules and receptors embedded in a porous…

Soft Condensed Matter · Physics 2021-01-12 Andrew T. R. Christy , Halim Kusumaatmaja , Mark A. Miller

We study the effect of density-assisted hopping on different dimerized lattice geometries, such as bilayers and ladder structures. We show analytically that the density-assisted hopping induces an attractive interaction in the lower…

Strongly Correlated Electrons · Physics 2026-03-10 Franco T. Lisandrini , Edmond Orignac , Roberta Citro , Ameneh Sheikhan , Corinna Kollath

We introduce DrugFlow, a generative model for structure-based drug design that integrates continuous flow matching with discrete Markov bridges, demonstrating state-of-the-art performance in learning chemical, geometric, and physical…

Machine Learning · Computer Science 2025-08-26 Arne Schneuing , Ilia Igashov , Adrian W. Dobbelstein , Thomas Castiglione , Michael Bronstein , Bruno Correia

We present stacked organic lasing heterostructures made by different species of light-emitting electrospun fibers, each able to provide optical gain in a specific spectral region. A hierarchical architecture is obtained by conformable…

In this letter, we present the first experimental study of bridge structures in three-dimensional dry granular packings. When bridges are small, they are predominantly 'linear', and have an exponential size distribution. Larger,…

Soft Condensed Matter · Physics 2013-05-13 Yixin Cao , Bandan Chakrabortty , G. C. Barker , Anita Mehta , Yujie Wang

A quantitative model of the mobility of functionalized particles at the interface is pivotal to understanding important systems in biology and nanotechnology. In this work, we investigate the emerging dynamics of particles anchored through…

Soft Condensed Matter · Physics 2024-06-19 Janna Lowensohn , Laurie Stevens , Daniel Goldstein , Bortolo Matteo Mognetti

In this work the computer modeling has been used to show that longer ligands allow biological cells (e.g., blood platelets) to withstand stronger flows after their adhesion to solid walls. Mechanistic model of polymer-mediated…

Soft Condensed Matter · Physics 2018-04-18 Aleksey V. Belyaev

The design of hybrid peptide-solid interfaces for nanotechnological applications such as biomolecular nanoarrays requires a deep understanding of the basic mechanisms of peptide binding and assembly at solid substrates. Here we show by…

Mesoscale and Nanoscale Physics · Physics 2011-07-07 Michael Bachmann , Karsten Goede , Annette G. Beck-Sickinger , Marius Grundmann , Anders Irbäck , Wolfhard Janke

Reversible crosslinking is a design paradigm for polymeric materials, wherein they are microscopically reinforced with chemical species that form transient crosslinks between the polymer chains. Besides the potential for self-healing,…

Soft Condensed Matter · Physics 2019-04-29 Nicholas B. Tito , Costantino Creton , Cornelis Storm , Wouter G. Ellenbroek

Nano-scale superconducting quantum interference devices (nano-SQUIDS) where the weak-links are made from nano-bridges --- i.e., nano-bridge--SQUIDs (NBSs) --- are one of the most sensitive magnetometers for nano-scale magnetometry. Because…

Superconductivity · Physics 2019-04-10 Dibyendu Hazra

The energy landscape dictates pathways and outcomes in supramolecular selfassembly, yet harnessing it from the nano to the macro scales remains a major challenge. Here, we demonstrate liquid liquid phase separation (LLPS) as a powerful tool…

Sampling from unnormalized densities using diffusion models has emerged as a powerful paradigm. However, while recent approaches that use least-squares `matching' objectives have improved scalability, they often necessitate significant…

Machine Learning · Computer Science 2026-03-03 Denis Blessing , Lorenz Richter , Julius Berner , Egor Malitskiy , Gerhard Neumann

Low-energy structures of a hybrid system consisting of a polymer and an attractive nanowire substrate as well as the thermodynamics of the adsorption transition are studied by means of Monte Carlo computer simulations. Depending on…

Soft Condensed Matter · Physics 2011-07-05 Thomas Vogel , Michael Bachmann

We study the adsorption of semiflexible polymers such as polyelectrolytes or DNA on planar and curved substrates, e.g., spheres or washboard substrates via short-range potentials using extensive Monte-Carlo simulations, scaling arguments,…

Soft Condensed Matter · Physics 2015-08-19 Tobias A. Kampmann , Horst-Holger Boltz , Jan Kierfeld

We study the ultrasensitivity of multisite binding processes where ligand molecules can bind to several binding sites, considering more particularly recent models involving complex chemical reactions in phosphorylation systems such as…

Subcellular Processes · Quantitative Biology 2016-05-02 Michaël Dougoud , Christian Mazza , Laura Vinckenbosch

Computational screening for new and improved catalyst materials relies on accurate and low-cost predictions of key parameters such as adsorption energies. Here, we use recently developed compressed sensing methods to identify descriptors…

Materials Science · Physics 2019-02-21 Mie Andersen , Sergey V. Levchenko , Matthias Scheffler , Karsten Reuter