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Nanoparticles functionalized with multiple ligands can be programmed to bind biological targets depending on the receptors they express, providing a general mechanism exploited in various technologies, from selective drug-delivery to…

Chemical Physics · Physics 2017-02-22 Stefano Angioletti-Uberti

Multivalency is prevalent in various biological systems and applications due to the superselectivity that arises from the cooperativity of multivalent binding. Traditionally, it was thought that weaker individual binding would improve the…

Soft Condensed Matter · Physics 2023-04-13 Xiuyang Xia , Ge Zhang , Massimo Pica Ciamarra , Yang Jiao , Ran Ni

Multivalent binding employs multiple simultaneous supramolecular interactions, increasing avidity and selectivity compared with monovalent binding. While equilibrium aspects of multivalency are well characterized, non-equilibrium behavior…

Soft Condensed Matter · Physics 2026-05-27 Vid Ravnik , Baptiste Chabaud , Urban Bren , Galina V. Dubacheva , Tine Curk

Multivalent particles have the ability to form multiple bonds to a substrate. Hence, a multivalent interaction can be strong, even if the individual bonds are weak. However, much more interestingly, multivalency greatly increases the…

Soft Condensed Matter · Physics 2017-04-04 Tine Curk , Jure Dobnikar , Daan Frenkel

Selective targeting of membranes with a specific receptor profile is an ongoing challenge in targeted drug delivery. We investigate the adsorption of copolymers on a multicomponent receptor-covered surface using grand-canonical Monte Carlo…

Soft Condensed Matter · Physics 2026-05-27 Vid Ravnik , Urban Bren , Tine Curk

We utilize a multiscale modeling framework to study the effect of shape, size and ligand composition on the efficacy of binding of a ligand-coated-particle to a substrate functionalized with the target receptors. First, we show how…

Soft Condensed Matter · Physics 2018-03-08 Matt McKenzie , Sung Min Ha , Aravind Rammohan , Ravi Radhakrishnan , N. Ramakrishnan

Multivalent particles bind to targets via many independent ligand-receptor bonding interactions. This microscopic design spans length scales in both synthetic and biological systems. Classic examples include interactions between cells,…

Soft Condensed Matter · Physics 2020-04-22 Tine Curk , Nicholas B. Tito

Multivalency is a common biological mechanism of formation of strong reversible and selective bonds by grouping weak bonds. Polymers often act as a scaffold to which multiple binding groups are attached. Here I present an analytical theory…

Soft Condensed Matter · Physics 2020-12-29 Elena Patyukova

Cells use surface receptors to estimate the concentration of external ligands. Limits on the accuracy of such estimations have been well studied for pairs of ligand and receptor species. However, the environment typically contains many…

Molecular Networks · Quantitative Biology 2015-06-02 Vijay Singh , Ilya Nemenman

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

Growing dimensionality of data calls for beyond-pairwise interactions quantification. Measures of multidimensional interactions quantification are hindered, among others, by two issues: 1. Interpretation difficulties, 2. the curse of…

Methodology · Statistics 2014-06-12 Rodríguez , Jhan , Bárdossy , András

Cells estimate concentrations of chemical ligands in their environment using a limited set of receptors. Recent work has shown that the temporal sequence of binding and unbinding events on just a single receptor can be used to estimate the…

Molecular Networks · Quantitative Biology 2020-01-22 Vijay Singh , Ilya Nemenman

Bivalency confers several concentration-dependent phenomena, including avidity, competitive exchange and multi-site competitive exchange. Since these concepts are crucial for a wide variety of topics in cell and molecular biology, their…

Statistical Mechanics · Physics 2022-01-19 Richard E. Spinney , Lawrence K. Lee , Richard G. Morris

Sensitive detection of low-abundance molecular targets is widely assumed to require enzymatic amplification, such as PCR, to achieve low detection limits. In amplification-free platforms, sensitivity is traditionally constrained by…

Soft Condensed Matter · Physics 2026-02-25 Xiuyang Xia , Yuhan Peng , Ran Ni

It has been established that Terahertz (THz) band signals can interact with biomolecules through resonant modes. Specifically, of interest here, protein activation. Our research goal is to show how directing the mechanical signaling inside…

Molecular Networks · Quantitative Biology 2022-07-05 Hadeel Elayan , Andrew W. Eckford , Raviraj Adve

This paper considers a broadly biologically relevant question of a chain (such as a protein) binding to a sequence of receptors with matching multiple ligands distributed along the chain. This binding is critical in cell adhesion events,…

Soft Condensed Matter · Physics 2017-11-29 Samuel Bell , Eugene M. Terentjev

Variable selection has played a critical role in modern statistical learning and scientific discoveries. Numerous regularization and Bayesian variable selection methods have been developed in the past two decades for variable selection, but…

Methodology · Statistics 2024-03-04 Travis Canida , Hongjie Ke , Shuo Chen , Zhenayo Ye , Tianzhou Ma

Configurational entropy has been revealed as a reliable method for constraining some parameters of a given model [Phys. Rev. D \textbf{92} (2015) 126005, Eur. Phys. J. C \textbf{76} (2016) 100]. In this letter we calculate the…

High Energy Physics - Theory · Physics 2016-10-12 R. A. C. Correa , P. H. R. S. Moraes , A. de Souza Dutra , W. de Paula , T. Frederico

Motion correlation interfaces are those that present targets moving in different patterns, which the user can select by matching their motion. In this paper, we re-formulate the task of target selection as a probabilistic inference problem.…

Human-Computer Interaction · Computer Science 2021-02-09 Eduardo Velloso , Carlos Hitoshi Morimoto

We consider highly heterogeneous random networks with symmetric interactions in the limit of high connectivity. A key feature of this system is that the spectral density of the corresponding ensemble exhibits a divergence within the bulk.…

Disordered Systems and Neural Networks · Physics 2023-11-29 Diego Tapias , Peter Sollich
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