Results 251 to 260 of about 49,034 (303)

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

Advanced Science, EarlyView.
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

Cuproptosis and Mitophagy Mediated by the THUMPD1/IGF2R‐Dependent Suppression of AKT and Activation of AMPK Signaling Suppress Lung Adenocarcinoma Progression

Advanced Science, EarlyView.
THUMPD1 drives a tumor‐suppressive signaling cascade in lung adenocarcinoma by promoting IGF2R expression. IGF2R associates with PPP2R1A to suppress AKT and activate AMPK, leading to SLC31A1 upregulation and copper accumulation. Elevated copper disrupts mitochondrial metabolism and induces excessive mitophagy, thereby restraining tumor growth and ...
Kai Wu, Bo Qin, Zhuoyu Gu, Weizheng Ding, Xiaoming Chen, Kaishang Zhang, Yujin Qiao, Shuang Yuan, Song Zhao, Xiangnan Li, Peng Zhang   +10 more
wiley   +1 more source

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Anisotropy in Fitness Landscapes

Journal of Theoretical Biology, 1993
A definition of empirical anisotropy is proposed, which allows for a quantitative measurement. This theory is applied to RNA free energy landscapes. It is shown that the biophysical GCAU landscapes are highly anisotropic, while the synthetic GCXK landscapes become isotropic for long chains. The major part of the anisotropy of the GCAU landscapes arises
P F, Stadler, W, Grüner
openaire   +2 more sources

Neutrality in fitness landscapes

Applied Mathematics and Computation, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian M. Reidys, Peter F. Stadler
openaire   +1 more source

On the (un)predictability of a large intragenic fitness landscape

Proceedings of the National Academy of Sciences of the United States of America, 2016
The study of fitness landscapes, which aims at mapping genotypes to fitness, is receiving ever-increasing attention. Novel experimental approaches combined with next-generation sequencing (NGS) methods enable accurate and extensive studies of the fitness
Claudia Bank, Sebastian Matuszewski, Jeffrey D Jensen   +2 more
exaly   +2 more sources

The k-coloring fitness landscape

Journal of Combinatorial Optimization, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bouziri, Hind, Mellouli, Khaled, Talbi, El-Ghazali   +2 more
openaire   +3 more sources

Amplitude Spectra of Fitness Landscapes

Advances in Complex Systems, 1998
Fitness landscapes can be decomposed into elementary landscapes using a Fourier transform that is determined by the structure of the underlying configuration space. The amplitude spectrum obtained from the Fourier transform contains information about the ruggedness of the landscape. It can be used for classification and comparison purposes. We consider
Wim Hordijk, Peter F. Stadler
openaire   +1 more source

Climbing combinatorial fitness landscapes

Applied Soft Computing, 2015
Hill-climbing constitutes one of the simplest way to produce approximate solutions of a combinatorial optimization problem, and is a central component of most advanced metaheuristics. This paper focuses on evaluating climbing techniques in a context where deteriorating moves are not allowed, in order to isolate the intensification aspect of ...
Basseur, Matthieu, Goëffon, Adrien
openaire   +1 more source

On aggregation of fitness landscapes

2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC), 2010
In many applications, search algorithms deal with fitness functions whose value is obtained by aggregation. In the recent years, aggregation functions have been largely investigated and extensive theoretical framework is available to characterize a function. In this paper we discuss how to choose an aggregated fitness function and what is the effect on
openaire   +1 more source

Evolving Fitness Landscapes with Complementary Fitness Functions

2020
Given an optimization problem, local search algorithms may fail to reach optimal solutions when faced to difficult and unsuitable fitness landscapes. Climbing based optimization is sensitive to unexpected distribution of local optima. In this paper, we aim at modifying the initial fitness landscape of a problem in order to better fit climbing ...
Hénaux, Vincent, Goëffon, Adrien, Saubion, Frédéric   +2 more
openaire   +1 more source