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A common metaphor for describing development is a rugged "epigenetic landscape" where cell fates are represented as attracting valleys resulting from a complex regulatory network. Here, we introduce a framework for explicitly constructing…

分子网络 · 定量生物学 2014-09-11 Alex H. Lang , Hu Li , James J. Collins , Pankaj Mehta

We introduce a new model of evolution on a fitness landscape possessing a tunable degree of neutrality. The model allows us to study the general properties of molecular species undergoing neutral evolution. We find that a number of…

adap-org · 物理学 2007-05-23 M. E. J. Newman , Robin Engelhardt

We study possible applications of artificial neural networks to examine the string landscape. Since the field of application is rather versatile, we propose to dynamically evolve these networks via genetic algorithms. This means that we…

高能物理 - 理论 · 物理学 2017-09-13 Fabian Ruehle

The spread of infectious disease and the evolution of antigenically distinct strains are often modeled separately, despite strong feedbacks mediated by host immune memory and heterogeneous contacts. To tackle this challenging problem, we…

种群与进化 · 定量生物学 2026-04-01 Davide Zanchetta , Vittoria Bettio , Sandro Azaele , Manlio De Domenico

We have used the Monte Carlo based computer models to show that selection pressure could affect the distribution of recombination hotspots along the chromosome. Close to critical crossover rate, where genomes may switch between the…

基因组学 · 定量生物学 2015-05-13 Jakub Kowalski , Wojciech Waga , Marta Zawierta , Stanislaw Cebrat

How to represent the genetic code? Despite the fact that it is extensively known, the DNA mapping into proteins remains as one of the relevant discoveries of genetics. However, modern genomic signal processing usually requires converting…

其他定量生物学 · 定量生物学 2015-03-10 H. M. de Oliveira , N. S. Santos-Magalhaes

Probabilistic biological network growth models have been utilized for many tasks including but not limited to capturing mechanism and dynamics of biological growth activities, null model representation, capturing anomalies, etc. Well-known…

分子网络 · 定量生物学 2024-01-02 Emre Sefer

The prevalence of neutral mutations implies that biological systems typically have many more genotypes than phenotypes. But can the way that genotypes are distributed over phenotypes determine evolutionary outcomes? Answering such questions…

种群与进化 · 定量生物学 2015-09-28 Kamaludin Dingle , Steffen Schaper , Ard A. Louis

How robust is the natural genetic code with respect to mistranslation errors? It has long been known that the genetic code is very efficient in limiting the effect of point mutation. A misread codon will commonly code either for the same…

生物物理 · 物理学 2009-11-03 Dimitri Gilis , Serge Massar , Nicolas Cerf , Marianne Rooman

The information contained in the genome is insufficient for the control of organism development. Thus, the whereabouts of actual operational directives and workings of the genome remain obscure. In this work, it is suggested that the genome…

生物物理 · 物理学 2007-05-23 S. Y. Berkovich

The main statistical distributions applicable to the analysis of genome architecture and genome tracks are briefly discussed and critically assessed. Although the observed features in distributions of element lengths can be equally well…

其他定量生物学 · 定量生物学 2015-06-17 V. R. Chechetkin

Transfer RNAs (tRNAs) are essential components of the translational machinery. Their abundance and diversity shape decoding capacity and protein synthesis efficiency and accuracy. Because tRNA abundance is encoded in the genome through tDNA…

种群与进化 · 定量生物学 2026-04-30 Guillaume Hummel , David Pflieger , Valerie Cognat , Laurence Drouard , Alexandre Berr

Constraints placed upon the phenotypes of organisms result from their interactions with the environment. Over evolutionary timescales, these constraints feed back onto smaller molecular subnetworks comprising the organism. The evolution of…

分子网络 · 定量生物学 2015-06-10 Cameron Smith , Ximo Pechuan , Raymond S. Puzio , Daniel Biro , Aviv Bergman

The evolutionary reason for the increase in gene length from archaea to prokaryotes to eukaryotes observed in large scale genome sequencing efforts has been unclear. We propose here that the increasing complexity of protein-protein…

分子网络 · 定量生物学 2009-11-10 Taison Tan , Daan Frenkel , Vishal Gupta , Michael W. Deem

Background. The large-scale pattern of distribution of genes on the chromosomes in the known animal genomes is not well characterized. We hypothesized that individual genes will be distributed on chromosomes in a mathematically ordered…

其他定量生物学 · 定量生物学 2019-12-17 Abdullah A. Toor , Amir A. Toor MD

The neutral mutation rate is known to vary widely along human chromosomes, leading to mutational hot and cold regions. We provide evidence that categories of functionally-related genes reside preferentially in mutationally hot or cold…

基因组学 · 定量生物学 2007-05-23 Jeffrey H. Chuang , Hao Li

Background: Duplication of genes is important for evolution of molecular networks. Many authors have therefore considered gene duplication as a driving force in shaping the topology of molecular networks. In particular it has been noted…

种群与进化 · 定量生物学 2009-11-13 Jakob Enemark , Kim Sneppen

Numerous studies have utilized NCBI data for genomic analysis, gene annotation, and identifying disease-associated variants, yet NCBI's epidemiological potential remains underexplored. This study demonstrates how NCBI datasets can be…

定量方法 · 定量生物学 2025-11-20 Bryan Harris , Majid Bani-Yaghoub

In this thesis, we have studied the large scale structure and system level dynamics of certain biological networks using tools from graph theory, computational biology and dynamical systems. We study the structure and dynamics of large…

分子网络 · 定量生物学 2008-12-31 Areejit Samal

Gene regulatory networks (GRNs) play a central role in cellular decision-making. Understanding their structure and how it impacts their dynamics constitutes thus a fundamental biological question. GRNs are frequently modeled as Boolean…

分子网络 · 定量生物学 2024-01-19 Claus Kadelka , Taras-Michael Butrie , Evan Hilton , Jack Kinseth , Addison Schmidt , Haris Serdarevic
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