Evidence map›Paper›PMID 24639520›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Quantitative theory of entropic forces acting on constrained nucleotide sequences applied to viruses.

Benjamin D Greenbaum, Simona Cocco, Arnold J Levine, Rémi Monasson

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Concepts and Methods for Predicting Viral Evolution.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Article
  5. Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Virus-like insertions with sequence signatures similar to those of endogenous nonretroviral RNA viruses in the human genome.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Genetic Analysis and Evolutionary Changes of the Torque teno sus Virus.International journal of molecular sciences · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

4 authors at 3 institutions in 2 countries.

Benjamin D GreenbaumThe Simons Center for Systems Biology, Institute for Advanced Study, Princeton, NJ 08540.
Simona Cocco
Arnold J Levine
Rémi Monasson
Center for Systems Biology · USLaboratoire de Physique Théorique · FRSorbonne Université · FR

Funding

Scientific ReagentsP01CA087497 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRIVES, CAROL · 2000 to 2021
$35.4M
NCI NIH HHS P01 CA087497
6 · The paper itself

Abstract

We outline a theory to quantify the interplay of entropic and selective forces on nucleotide organization and apply it to the genomes of single-stranded RNA viruses. We quantify these forces as intensive variables that can easily be compared between sequences, outline a computationally efficient transfer-matrix method for their calculation, and apply this method to influenza and HIV viruses. We find viruses altering their dinucleotide motif use under selective forces, with these forces on CpG dinucleotides growing stronger in influenza the longer it replicates in humans. For a subset of genes in the human genome, many involved in antiviral innate immunity, the forces acting on CpG dinucleotides are even greater than the forces observed in viruses, suggesting that both effects are in response to similar selective forces involving the innate immune system. We further find that the dynamics of entropic forces balancing selective forces can be used to predict how long it will take a virus to adapt to a new host, and that it would take H1N1 several centuries to adapt to humans from birds, typically contributing many of its synonymous substitutions to the forcible removal of CpG dinucleotides. By examining the probability landscape of dinucleotide motifs, we predict where motifs are likely to appear using only a single-force parameter and uncover the localization of UpU motifs in HIV. Essentially, we extend the natural language and concepts of statistical physics, such as entropy and conjugated forces, to understanding viral sequences and, more generally, constrained genome evolution.

Indexed as

EntropyModels, BiologicalBase SequenceCodonComputer SimulationDinucleoside PhosphatesHumansInfluenza A Virus, H1N1 SubtypeMolecular MimicryNucleotide MotifsVirusesCodonCpG dinucleotideDinucleoside Phosphates

Identifiers

PMID24639520
PMCPMC3977288
OpenAlexW2168168927

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.