Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,053

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Mistranslation-Induced Protein Misfolding as a Dominant Constraint on Coding-Sequence Evolution

Open access
Drummond, D. Allan, Wilke, Claus O.·2008·Cell

Abstract

Summary The biological causes of selective pressures on coding-sequence evolution remain controversial, despite the surprising consistency of covariation between common measures of evolutionary change (substitution rates) and gene expression (mRNA levels, codon usage) across taxa. We carry out a unified analysis which reveals these conserved patterns in E. coli, yeast, worm, fly, mouse, and human, and suggests that all trends stem largely from a unified underlying selective pressure. In metazoans, these trends are strongest in tissues composed of neurons, whose structure and lifetime confer extreme sensitivity to protein misfolding. We propose, and demonstrate using a molecular-level evolutionary simulation, that selection against toxicity of misfolded proteins generated by ribosome errors suffices to create all the observed covariation. The mechanistic model of molecular evolution which emerges yields testable biochemical predictions, calls into question use of nonsynonymous-to-synonymous substitution ratios (Ka/Ks) to detect functional selection, and suggests how mistranslation may contribute to neurodegenerative disease.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cell.2008.05.042

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

See all 1,053

Metadata

Authors
Drummond, D. A., & Wilke, C. O.
Venue
Cell
Publisher
Elsevier BV
Published
2008-07
Volume
134
Issue
2
Pages
341-352
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2039790548
Cited by
1,053
References
12
FWCI
24.32
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Mistranslation-Induced Protein Misfolding as a Dominant Constraint on Coding-Sequence Evolution. https://app.cochat.ai/papers/10.1016/j.cell.2008.05.042
The paper
Drummond, D. A., & Wilke, C. O. (2008). Mistranslation-Induced Protein Misfolding as a Dominant Constraint on Coding-Sequence Evolution. Cell. https://doi.org/10.1016/j.cell.2008.05.042

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.