Evidence map›Paper›PMID 29955873›Full record

ArticleMolecular biology and evolution2018

Evolution on the Biophysical Fitness Landscape of an RNA Virus.

Assaf Rotem, Adrian W R Serohijos, Connie B Chang, Joshua T Wolfe, Audrey E Fischer, Thomas S Mehoke, Huidan Zhang, Ye Tao, W Lloyd Ung, Jeong-Mo Choi and 17 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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.

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

39 citing papers in PubMed.

  1. Direct estimation of genotype fitness from time series.bioRxiv : the preprint server for biology · 2026
    Article
  2. Phase diagrams for biophysical fitness landscape design.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Predicting high-fitness viral protein variants with Bayesian active learning and biophysics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025
    Review
  10. Concepts and Methods for Predicting Viral Evolution.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Biophysical principles predict fitness of SARS-CoV-2 variants.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Biophysical principles predict fitness of SARS-CoV-2 variants.bioRxiv : the preprint server for biology · 2024
    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

27 authors.

Assaf RotemDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Adrian W R SerohijosDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.
Connie B ChangDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Joshua T WolfeApplied Physics Laboratory, Johns Hopkins University, Laurel, MD.
Audrey E FischerApplied Physics Laboratory, Johns Hopkins University, Laurel, MD.
Thomas S MehokeApplied Physics Laboratory, Johns Hopkins University, Laurel, MD.
Huidan ZhangDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Ye TaoDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
W Lloyd UngDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Jeong-Mo ChoiDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.
João V RodriguesDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.
Abimbola O KolawoleDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI.
Stephan A KoehlerDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Susan WuApplied Physics Laboratory, Johns Hopkins University, Laurel, MD.
Peter M ThielenApplied Physics Laboratory, Johns Hopkins University, Laurel, MD.
Naiwen CuiDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Plamen A DemirevApplied Physics Laboratory, Johns Hopkins University, Laurel, MD.
Nicholas S GiacobbiDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA.
Timothy R JulianEnvironmental Health Sciences and the Hopkins Water Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Kellogg SchwabEnvironmental Health Sciences and the Hopkins Water Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Jeffrey S LinApplied Physics Laboratory, Johns Hopkins University, Laurel, MD.
Thomas J SmithDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch at Galveston, Galveston, TX.
James M PipasDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA.
Christiane E WobusDepartment of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI.
Andrew B FeldmanDepartment of Emergency Medicine, Johns Hopkins Medicine, Baltimore, MD.
David A WeitzDepartment of Physics, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA.

Funding

Study of Biological Evolution of Structure and Function in ProteinsR01GM068670 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2004 to 2020
$7.0M
NIGMS NIH HHS R01 GM068670
6 · The paper itself

Abstract

Viral evolutionary pathways are determined by the fitness landscape, which maps viral genotype to fitness. However, a quantitative description of the landscape and the evolutionary forces on it remain elusive. Here, we apply a biophysical fitness model based on capsid folding stability and antibody binding affinity to predict the evolutionary pathway of norovirus escaping a neutralizing antibody. The model is validated by experimental evolution in bulk culture and in a drop-based microfluidics that propagates millions of independent small viral subpopulations. We demonstrate that along the axis of binding affinity, selection for escape variants and drift due to random mutations have the same direction, an atypical case in evolution. However, along folding stability, selection and drift are opposing forces whose balance is tuned by viral population size. Our results demonstrate that predictable epistatic tradeoffs between molecular traits of viral proteins shape viral evolution.

Indexed as

Antibody AffinityBiological EvolutionGenetic FitnessModels, GeneticAnimalsAntibodies, NeutralizingCapsid ProteinsEpistasis, GeneticMiceNorovirusProtein FoldingProtein StabilitySelection, GeneticAntibodies, NeutralizingCapsid Proteins

Identifiers

PMID29955873
PMCPMC6188569

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.