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Hundreds of Evolutionary Computation approaches have been reported. From an evolutionary perspective they focus on two fundamental mechanisms: cultural inheritance in Swarm Intelligence and genetic inheritance in Evolutionary Algorithms.…

Neural and Evolutionary Computing · Computer Science 2022-11-28 Sizhe Yuen , Thomas H. G. Ezard , Adam J. Sobey

Cell size is a fundamental determinant of cellular physiology, influencing processes such as growth, division, and function. In this study, we develop a segmented mathematical framework to investigate how different control mechanisms…

Cell Behavior · Quantitative Biology 2026-02-02 Shuqi Fan , Yuhang Zhang , Jinzhi Lei

An important goal of medical research is to develop methods to recover the loss of cellular function due to mutations and other defects. Many approaches based on gene therapy aim to repair the defective gene or to insert genes with…

Molecular Networks · Quantitative Biology 2008-03-15 Adilson E. Motter , Natali Gulbahce , Eivind Almaas , Albert-Laszlo Barabasi

BioDynaMo is a biological processes simulator developed by an international community of researchers and software engineers working closely with neuroscientists. The authors have been working on gene expression, i.e. the process by which…

Quantitative Methods · Quantitative Biology 2018-03-13 Sadyk Sayfullin , Fedor Akhmetov , Manuel Mazzara , Ruslan Mustafin , Victor Rivera

Formulating quantitative and predictive models for tissue development requires consideration of the complex, stochastic gene expression dynamics, its regulation via cell-to-cell interactions, and cell proliferation. Including all of these…

Cell Behavior · Quantitative Biology 2026-05-12 Casey O. Barkan , Tom Chou

Microbiological systems evolve to fulfill their tasks with maximal efficiency. The immune system is a remarkable example, where self-non self distinction is accomplished by means of molecular interaction between self proteins and antigens,…

Cell Behavior · Quantitative Biology 2013-08-26 Marcio Argollo de Menezes , Edgardo Brigatti , Veit Schwämmle

The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene regulatory elements. These elements include chromatin remodelers,…

Molecular Networks · Quantitative Biology 2022-10-19 M. Ali Al-Radhawi , Shubham Tripathi , Yun Zhang , Eduardo D. Sontag , Herbert Levine

Many cellular processes involve information processing and decision making. We can probe these processes at increasing molecular detail. The analysis of heterogeneous data remains a challenge that requires new ways of thinking about cells…

Cell Behavior · Quantitative Biology 2024-12-03 Lucy Ham , Taylor E. Woodford , Megan A. Coomer , Michael P. H. Stumpf

The challenge in controlling stochastic systems in which low-probability events can set the system on catastrophic trajectories is to develop a robust ability to respond to such events without significantly compromising the optimality of…

Populations and Evolution · Quantitative Biology 2020-10-28 Dalit Engelhardt

Biological genotypes do not code directly for phenotypes; developmental physiology is the control layer that separates genomes from capacities ascertained by selection. A key aspect is competency, as cells are not a passive material but…

Populations and Evolution · Quantitative Biology 2022-08-01 Lakshwin Shreesha , Michael Levin

Phenotypic variation is a hallmark of cellular physiology. Metabolic heterogeneity, in particular, underpins single-cell phenomena such as microbial drug tolerance and growth variability. Much research has focussed on transcriptomic and…

Molecular Networks · Quantitative Biology 2019-01-31 Mona K. Tonn , Philipp Thomas , Mauricio Barahona , Diego A Oyarzún

Eukaryotic gene regulation is based on stochastic yet controlled promoter switching, during which genes transition between transcriptionally active and inactive states. Despite the molecular complexity of this process, recent studies reveal…

Molecular Networks · Quantitative Biology 2025-07-17 Benjamin Zoller , Alexis Bénichou , Thomas Gregor , Gašper Tkačik

Cells are able to generate phenotypic diversity both during development and in response to stressful and changing environments, aiding survival. The biologically and medically vital process of a cell assuming a functionally important fate…

Cell Behavior · Quantitative Biology 2019-12-16 Ryan Kerr , Sara Jabbari , Iain G. Johnston

This paper presents advancements in automated early-stage prediction of the success of reprogramming human induced pluripotent stem cells (iPSCs) as a potential source for regenerative cell therapies.The minuscule success rate of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Abhineet Singh , Ila Jasra , Omar Mouhammed , Nidheesh Dadheech , Nilanjan Ray , James Shapiro

Probabilistic Boolean Networks (PBNs) were introduced as a computational model for the study of complex dynamical systems, such as Gene Regulatory Networks (GRNs). Controllability in this context is the process of making strategic…

Machine Learning · Computer Science 2020-09-08 Georgios Papagiannis , Sotiris Moschoyiannis

Irreversibility, in which a transient perturbation leaves a system in a new state, is an emergent property in systems of interacting entities. This property has well-established implications in statistical physics but remains underexplored…

Molecular Networks · Quantitative Biology 2024-09-25 Yi Zhao , Thomas P. Wytock , Kimberly A. Reynolds , Adilson E. Motter

Due to recent breakthroughs in state-of-the-art DNA sequencing technology, genomics data sets have become ubiquitous. The emergence of large-scale data sets provides great opportunities for better understanding of genomics, especially gene…

Genomics · Quantitative Biology 2020-12-18 Wei Cheng , Ghulam Murtaza , Aaron Wang

DNA amplification is the process of replication of a specified DNA sequence \emph{in vitro} through time-dependent manipulation of its external environment. A theoretical framework for determination of the optimal dynamic operating…

Biological Physics · Physics 2015-06-23 Karthikeyan Marimuthu , Raj Chakrabarti

Living organisms must respond to environmental changes. Generally, accurate and rapid responses are provided by simple, unidirectional networks that connect inputs with outputs. Besides accuracy and speed, biological responses should also…

Molecular Networks · Quantitative Biology 2021-09-01 Masayo Inoue , Kunihiko Kaneko

Understanding the spatial organisation of the genome in the cell nucleus is one of the current grand challenges in biophysics. Certain biochemical -- or epigenetic -- marks that are deposited along the genome are thought to play an…

Soft Condensed Matter · Physics 2020-01-08 Davide Michieletto , Davide Colí , Davide Marenduzzo , Enzo Orlandini