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Motivated by single-molecule experiments on synaptic membrane protein domains, we use a stochastic lattice model to study protein reaction and diffusion processes in crowded membranes. We find that the stochastic reaction-diffusion dynamics…

亚细胞过程 · 定量生物学 2016-11-08 Osman Kahraman , Yiwei Li , Christoph A. Haselwandter

Multisite phosphorylation plays an important role in intracellular signaling. There has been much recent work aimed at understanding the dynamics of such systems when the phosphorylation/dephosphorylation mechanism is distributive, that is,…

分子网络 · 定量生物学 2014-10-23 Carsten Conradi , Anne Shiu

Scaffolding proteins that direct the assembly of multiple kinases into a spatially localized signaling complex are often essential for the maintenance of an appropriate biological response. Although scaffolds are widely believed to have…

亚细胞过程 · 定量生物学 2015-05-13 Jason W. Locasale , Arup K. Chakraborty

Due to the time scale problem, rare events are not accessible by straight forward molecular dynamics. The presence of multiple reaction channels complicates the problem even further. The feasibility of the standard free energy based methods…

统计力学 · 物理学 2009-11-13 Titus S. van Erp

New advances in nano sciences open the door for scientists to study biological processes on a microscopic molecule-by-molecule basis. Recent single-molecule biophysical experiments on enzyme systems, in particular, reveal that enzyme…

应用统计 · 统计学 2012-09-28 Chao Du , S. C. Kou

Spatial organization in metabolic pathways can arise from the interplay between enzymatic reaction kinetics and diffusion-driven instabilities. In this work we investigate how reversible enzyme--substrate binding influences pattern…

分子网络 · 定量生物学 2026-04-27 Faezeh Farivar

The MAP kinase cascade is a network of enzymatic reactions arranged in layers. In each layer occurs a multiple futile cycle of phosphorylations. The fully phosphorylated substrate then serves as an enzyme for the layer below. This papers…

分子网络 · 定量生物学 2015-09-10 Juliette Hell , Alan D. Rendall

Various biological cells secrete diffusing chemical compounds into their environment for communication purposes. Secretion usually takes place over the cell membrane in a spatially heterogeneous manner. Mathematical models of these…

数值分析 · 数学 2025-11-20 Qiyao Peng , Sander C. Hille

Protein dynamics is a fundamental element to comprehend their biological functions. However, a theoretical picture providing microscopic-detail explanation of its relevant features is still missing. One of the outmost relevant properties…

软凝聚态物质 · 物理学 2023-06-14 Luca Maggi

A protein undergoes conformational dynamics with multiple time scales, which results in fluctuating enzyme activities. Recent studies in single molecule enzymology have observe this "age-old" dynamic disorder phenomenon directly. However,…

生物大分子 · 定量生物学 2009-11-10 Zhanghan Wu , Vlad Elgart , Hong Qian , Jianhua Xing

Biological systems are majorly dependent on their property of bistability in order to exhibit nongenetic heterogeneity in terms of cellular morphology and physiology. Spatial patterns of phenotypically heterogeneous cells, arising due to…

定量方法 · 定量生物学 2023-01-25 Priya Chakraborty , Ushasi Roy , Mohit K. Jolly , Sayantari Ghosh

Multisite protein modification is a ubiquitous mechanism utilized by cells to control protein functions. We have recently proposed a dynamical description of multisite protein modification which embodies all the essential features of the…

生物物理 · 物理学 2007-05-23 Edoardo Milotti , Alessio Del Fabbro , Chiara Dalla Pellegrina , Roberto Chignola

Biomolecular folding, at least in simple systems, can be described as a two state transition in a free energy landscape with two deep wells separated by a high barrier. Transition paths are the short part of the trajectories that cross the…

统计力学 · 物理学 2018-12-10 M. Laleman , E. Carlon , H. Orland

This work concerns the question of how two important dynamical properties, oscillations and bistability, emerge in an important biological signaling network. Specifically, we consider a model for dual-site phosphorylation and…

分子网络 · 定量生物学 2019-03-08 Nida Obatake , Anne Shiu , Xiaoxian Tang , Angelica Torres

The formation of condensates is now considered as a major organization principle of eukaryotic cells. Several studies have recently shown that the properties of these condensates are affected by enzymatic reactions. We propose here a simple…

软凝聚态物质 · 物理学 2024-11-19 Jacques Fries , Javier Diaz , Marie Jardat , Ignacio Pagonabarraga , Pierre Illien , Vincent Dahirel

Biomembranes wrapping cells and organelles are not only the partitions that separate the insides but also dynamic fields for biological functions accompanied by membrane shape changes. In this review, we discuss the spatiotemporal patterns…

软凝聚态物质 · 物理学 2025-01-22 Hiroshi Noguchi

This paper deals with temporal enzyme distribution in the activation of biochemical pathways. Pathway activation arises when production of a certain biomolecule is required due to changing environmental conditions. Under the premise that…

定量方法 · 定量生物学 2008-01-17 Diego Oyarzún , Brian Ingalls , Richard Middleton , Dimitrios Kalamatianos

Switch-like motifs are among the basic building blocks of biochemical networks. A common motif that can serve as an ultrasensitive switch consists of two enzymes acting antagonistically on a substrate, one making and the other removing a…

分子网络 · 定量生物学 2023-05-31 Jeremy A. Owen , Pranay Talla , John W. Biddle , Jeremy Gunawardena

Posttranslational modification of proteins is key in transmission of signals in cells. Many signaling pathways contain several layers of modification cycles that mediate and change the signal through the pathway. Here, we study a simple…

定量方法 · 定量生物学 2010-12-21 Elisenda Feliu , Michael Knudsen , Lars N. Andersen , Carsten Wiuf

Multisite protein phosphorylation plays a pivotal role in regulating cellular signaling and decision-making processes. In this study, we focus on the mathematical underpinnings and informational aspects of sequential, distributive…

分子网络 · 定量生物学 2025-07-22 Iman Tavassoly , Adel Mehrpooya , Parsa Mirlohi , Zahra Abbaspourasadollah