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Related papers: Derangement model of ligand-receptor binding

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The phenomenon of molecular binding, where two molecules, referred to as a receptor and a ligand, bind together to form a ligand-receptor complex, is ubiquitous in biology and essential for the accurate functioning of all life-sustaining…

Biological Physics · Physics 2021-02-03 Tuhin Chakrabortty , Manoj M Varma

We propose a model of mass-conserving heterogeneous nucleation to describe the dynamics of ligand-receptor binding in closed cellular compartments. When the ligand dissociation rate is small, competition among receptors for free ligands…

Soft Condensed Matter · Physics 2015-05-30 T. Chou , M. D'Orsogna

After discussing the relevance of statistical physics in molecular recognition processes, we present a schematic model for ligand-receptor association based on an Ising chain. We discuss the possible behaviors of the affinity when the…

Soft Condensed Matter · Physics 2010-04-09 Fabrice Thalmann

To adapt their behaviour in changing environments, cells sense concentrations by binding external ligands to their receptors. However, incorrect ligands may bind nonspecifically to receptors, and when their concentration is large, this…

Molecular Networks · Quantitative Biology 2015-07-23 Thierry Mora

Biological sensory systems generally operate out of equilibrium, which often leads to their improved performance. Here, we study the sensitivity of ligand concentration for a general receptor model, which is generally in the non-equilibrium…

Biological Physics · Physics 2017-06-27 Takashi Okada

The theory of receptor-ligand binding equilibria has long been well-established in biochemistry, and was primarily constructed to describe dilute aqueous solutions. Accordingly, few computational approaches have been developed for making…

Quantitative Methods · Quantitative Biology 2018-10-02 Reza Salari , Thomas Joseph , Ruchi Lohia , Jerome Henin , Grace Brannigan

Protein-ligand modeling underpins computational drug discovery and molecular design. Existing protein-ligand benchmarks typically evaluate whether a protein and ligand interact and how strongly they bind, through tasks such as binary…

Machine Learning · Computer Science 2026-05-26 Zhaohan Meng , Zhen Bai , Ke Yuan , Iadh Ounis , Zaiqiao Meng , Hao Xu , Joseph Loscalzo

The adhesion of biological membranes is mediated by the binding of membrane-anchored receptor and ligand proteins. Central questions are how the binding kinetics of these proteins is affected by the membranes and by the membrane anchoring…

Biomolecules · Quantitative Biology 2015-11-30 Jinglei Hu , Guang-Kui Xu , Reinhard Lipowsky , Thomas R. Weikl

Structure based ligand discovery is one of the most successful approaches for augmenting the drug discovery process. Currently, there is a notable shift towards machine learning (ML) methodologies to aid such procedures. Deep learning has…

Machine Learning · Statistics 2018-06-12 Marta M. Stepniewska-Dziubinska , Piotr Zielenkiewicz , Pawel Siedlecki

Comprehensive knowledge of protein-ligand interactions should provide a useful basis for annotating protein functions, studying protein evolution, engineering enzymatic activity, and designing drugs. To investigate the diversity and…

Biomolecules · Quantitative Biology 2009-02-11 Akira R. Kinjo , Haruki Nakamura

Here we characterized an information measure for cell polarity that applies to non-motile cells responding to a chemical gradient. The central idea is that polarization represents information about the direction of the gradient. We applied…

Cell Behavior · Quantitative Biology 2025-04-14 Tau-Mu Yi

Protein-ligand binding is essential to almost all life processes. The understanding of protein-ligand interactions is fundamentally important to rational drug design and protein design. Based on large scale data sets, we show that protein…

Biomolecules · Quantitative Biology 2017-04-21 Duc Duy Nguyen , Tian Xiao , Menglun Wang , Guo-Wei Wei

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

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

Cells need to reliably sense external ligand concentrations to achieve various biological functions such as chemotaxis or signaling. The molecular recognition of ligands by surface receptors is degenerate in many systems leading to…

A self-consistent model is developed to investigate attachment / detachment kinetics of two soft, deformable microspheres with irregular surface and coated with flexible binding ligands. The model highlights how the microscale binding…

Cell Behavior · Quantitative Biology 2015-10-13 Sarthok Sircar , Andrei Kotousov , Giang Nguyen , Anthony J. Roberts

A quantitative understanding of how cells interact with their extracellular matrix via molecular bonds is fundamental for many important processes in cell biology and engineering. In these interactions, the deformability of cells and matrix…

Biological Physics · Physics 2022-07-13 Qiangzeng Huang , Jizeng Wang

We study a classical model of thermally fluctuating polymers confined to two dimensions, experiencing a grooved periodic potential, and subject to pulling forces both along and transverse to the grooves. The equilibrium polymer…

Soft Condensed Matter · Physics 2023-01-12 Abhijeet Melkani , Alexander Patapoff , Jayson Paulose

A rigorous formalism for estimating noncovalent binding free energies and thermodynamic expectations from calculations in which receptor configurations are sampled independently from the ligand is derived. Due to this separation, receptor…

Statistical Mechanics · Physics 2015-03-20 David D. L. Minh

The accurate screening of candidate drug ligands against target proteins through computational approaches is of prime interest to drug development efforts. Such virtual screening depends in part on methods to predict the binding affinity…

Machine Learning · Computer Science 2024-10-22 Ho-Joon Lee , Prashant S. Emani , Mark B. Gerstein
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