Evidence map›Paper›PMID 25679649›Full record

ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2015

Quasispecies theory for evolution of modularity.

Jeong-Man Park, Liang Ren Niestemski, Michael W Deem

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04137913 (Project CHROMA), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04137913 nacompletednot on this mapstarted 2019, after this paper: background citation

Project CHROMA (Cognitive Health Research on Musical Arts)

TypeinterventionalSponsorWilliam Marsh Rice UniversityRan2019 to 2023Enrolled81ConditionsCognitive Impairment, CreativityArmsMusical arts intervention
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jeong-Man ParkDepartments of Physics & Astronomy and Bioengineering, Rice University, Houston, Texas 77005-1892, USA; Department of Physical and Biological Science, Western New England University, Springfield, Massachusetts 01119, USA; and Department of Physics, The Catholic University of Korea, Bucheon 420-743, Korea.
Liang Ren NiestemskiDepartments of Physics & Astronomy and Bioengineering, Rice University, Houston, Texas 77005-1892, USA; Department of Physical and Biological Science, Western New England University, Springfield, Massachusetts 01119, USA; and Department of Physics, The Catholic University of Korea, Bucheon 420-743, Korea.
Michael W DeemDepartments of Physics & Astronomy and Bioengineering, Rice University, Houston, Texas 77005-1892, USA; Department of Physical and Biological Science, Western New England University, Springfield, Massachusetts 01119, USA; and Department of Physics, The Catholic University of Korea, Bucheon 420-743, Korea.

Funding

Predicting Patient Subpopulation Dynamics from Fluctuation TheoryR01GM100468 · NIGMS · RICE UNIVERSITY · PI DEEM, MICHAEL W · 2011 to 2014
$1.5M
NIGMS NIH HHS 1 R01 GM 100468-01NIGMS NIH HHS R01 GM100468
6 · The paper itself

Abstract

Biological systems are modular, and this modularity evolves over time and in different environments. A number of observations have been made of increased modularity in biological systems under increased environmental pressure. We here develop a quasispecies theory for the dynamics of modularity in populations of these systems. We show how the steady-state fitness in a randomly changing environment can be computed. We derive a fluctuation dissipation relation for the rate of change of modularity and use it to derive a relationship between rate of environmental changes and rate of growth of modularity. We also find a principle of least action for the evolved modularity at steady state. Finally, we compare our predictions to simulations of protein evolution and find them to be consistent.

Indexed as

Biological EvolutionModels, BiologicalEnvironmentProteinsProteins

Identifiers

PMID25679649
PMCPMC4477872

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.