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A key goal of systems biology is the predictive mathematical description of gene regulatory circuits. Different approaches are used such as deterministic and stochastic models, models that describe cell growth and division explicitly or…

分子网络 · 定量生物学 2012-10-12 Rahul Marathe , Veronika Bierbaum , David Gomez , Stefan Klumpp

Configurational entropy is an important factor in the free energy change of many macromolecular recognition and binding processes, and has been intensively studied. Despite great progresses that have been made, the global sampling remains…

生物物理 · 物理学 2012-12-04 Wenzhao Li , Kai Wang , Suyan Tian , Pu Tian

Recent advances in high-resolution experimental methods have highlighted the significance of cell signal pathway crosstalk and localised signalling activity in the development and disease of numerous biological systems. The investigation of…

动力系统 · 数学 2022-09-19 Joshua W. Moore , Trevor C. Dale , Thomas E. Woolley

Many signalling functions in molecular biology require proteins bind to substrates such as DNA in response to environmental signals such as the simultaneous binding to a small molecule. Examples are repressor proteins which may transmit…

生物大分子 · 定量生物学 2009-11-10 Rhoda J. Hawkins , Thomas C. B. McLeish

It is known that statistical model selection as well as identification of dynamical equations from available data are both very challenging tasks. Physical systems behave according to their underlying dynamical equations which, in turn, can…

数学物理 · 物理学 2017-10-11 Sean Alan Ali , Carlo Cafaro

We characterize different cell states, related to cancer and ageing phenotypes, by a measure of entropy of network ensembles, integrating gene expression values and protein interaction networks. The entropy measure estimates the parameter…

分子网络 · 定量生物学 2013-05-24 G. Menichetti , G. Bianconi , E. Giampieri , G. Castellani , D. Remondini

In this paper we suggest that, under suitable conditions, supervised learning can provide the basis to formulate at the microscopic level quantitative questions on the phenotype structure of multicellular organisms. The problem of…

分子网络 · 定量生物学 2012-06-14 D. Napoletani , E. Petricoin , D. C. Struppa

A critical task in systems biology is the identification of genes that interact to control cellular processes by transcriptional activation of a set of target genes. Many methods have been developed to use statistical correlations in…

定量方法 · 定量生物学 2010-11-24 Adam A. Margolin , Kai Wang , Andrea Califano , Ilya Nemenman

The multisite phosphorylation-dephosphorylation cycle is a motif repeatedly used in cell signaling. This motif itself can generate a variety of dynamic behaviors like bistability and ultrasensitivity without direct positive feedbacks. In…

定量方法 · 定量生物学 2011-11-09 Liming Wang , Eduardo D. Sontag

During developmental processes such as embryogenesis, how a group of cells fold into specific structures, is a central question in biology that defines how living organisms form. Establishing tissue-level morphology critically relies on how…

软凝聚态物质 · 物理学 2024-07-23 Haiqian Yang , Anh Q. Nguyen , Dapeng Bi , Markus J. Buehler , Ming Guo

Knowing the location of a protein within the cell is important for understanding its function, role in biological processes, and potential use as a drug target. Much progress has been made in developing computational methods that predict…

定量方法 · 定量生物学 2013-08-02 Ramanuja Simha , Hagit Shatkay

Differentiation is a key cellular process in normal tissue development that is significantly altered in cancer. Although molecular signatures characterising pluripotency and multipotency exist, there is, as yet, no single quantitative mark…

Stochasticity in gene expression gives rise to fluctuations in protein levels across a population of genetically identical cells. Such fluctuations can lead to phenotypic variation in clonal populations, hence there is considerable interest…

分子网络 · 定量生物学 2015-06-15 Hodjat Pendar , Thierry Platini , Rahul V. Kulkarni

The limits of molecular dynamics (MD) simulations of macromolecules are steadily pushed forward by the relentless developments of computer architectures and algorithms. This explosion in the number and extent (in size and time) of MD…

Network inference approaches are widely used to shed light on regulatory interplay between molecular players such as genes and proteins. Biochemical processes underlying networks of interest (e.g. gene regulatory or protein signalling…

应用统计 · 统计学 2014-06-03 Chris J Oates , Bryan T Hennessy , Yiling Lu , Gordon B Mills , Sach Mukherjee

Characterizing the entropy of a system is a crucial, and often computationally costly, step in understanding its thermodynamics. It plays a key role in the study of phase transitions, pattern formation, protein folding and more. Current…

统计力学 · 物理学 2020-12-02 Amit Nir , Eran Sela , Roy Beck , Yohai Bar-Sinai

Signaling events in eukaryotic cells are often guided by a scaffolding protein. Scaffold proteins assemble multiple proteins in a spatially localized signaling complex and exert numerous physical effects on signaling pathways. To study…

亚细胞过程 · 定量生物学 2009-11-13 Jason W. Locasale

Proteins are essential components of living systems, capable of performing a huge variety of tasks at the molecular level, such as recognition, signalling, copy, transport, ... The protein sequences realizing a given function may largely…

生物大分子 · 定量生物学 2016-02-17 John Barton , Arup Chakraborty , Simona Cocco , Hugo Jacquin , Rémi Monasson

This paper investigates the stochastic fluctuations of the number of copies of a given protein in a cell. This problem has already been addressed in the past and closed-form expressions of the mean and variance have been obtained for a…

定量方法 · 定量生物学 2012-06-05 Vincent Fromion , Emanuele Leoncini , Philippe Robert

A ubiquitous building block of signaling pathways is a cycle of covalent modification (e.g., phosphorylation and dephosphorylation in MAPK cascades). Our paper explores the kind of information processing and filtering that can be…

分子网络 · 定量生物学 2015-05-13 Carlos Gomez-Uribe , George C. Verghese , Leonid A. Mirny