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19982022
most citedZipf's Law in Gene Expression

253 citations · 559 across the 15 of their papers we have counts for

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Showing q-bio.PEShow all

6 papers · 1 filter

q-bio.PE2022★ 17 cited

Rare-Event Sampling Analysis Uncovers the Fitness Landscape of the Genetic Code

Yuji Omachi, Nen Saito, Chikara Furusawa

The genetic code refers to a rule that maps 64 codons to 20 amino acids. Nearly all organisms, with few exceptions, share the same genetic code, the standard genetic code (SGC). Wh…

q-bio.PE2022

Prediction of Cross-Fitness for Adaptive Evolution to Different Environmental Conditions: Consequence of Phenotypic Dimensional Reduction

Takuya U. Sato, Chikara Furusawa, Kunihiko Kaneko

How adaptive evolution to one environmental stress improves or suppresses adaptation to another is an important problem in evolutionary biology. For instance, in microbiology, the…

q-bio.PE2021

Direction and Constraint in Phenotypic Evolution: Dimension Reduction and Global Proportionality in Phenotype Fluctuation and Responses

Kunihiko Kaneko, Chikara Furusawa

A macroscopic theory for describing cellular states during steady-growth is presented, which is based on the consistency between cellular growth and molecular replication, as well…

q-bio.PE2017★ 69 cited

Formation of Dominant Mode by Evolution in Biological Systems

Chikara Furusawa, Kunihiko Kaneko

Constraints on changes in expression levels across all cell components imposed by the steady growth of cells have recently been discussed both experimentally and theoretically. By…

q-bio.PE2015

Global Relationships in Fluctuation and Response in Adaptive Evolution

Chikara Furusawa, Kunihiko Kaneko

Cells generally change their internal state to adapt to an environmental change, and accordingly evolve in response to the new conditions. This process involves phenotypic changes…

q-bio.PE2005★ 15 cited

Evolutionary origin of power-laws in Biochemical Reaction Network; embedding abundance distribution into topology

Chikara Furusawa, Kunihiko Kaneko

The evolutionary origin of universal statistics in biochemical reaction network is studied, to explain the power-law distribution of reaction links and the power-law distributions…