Evidence map›Paper›PMID 40097423›Full record

ArticleNature communications2025

Deep indel mutagenesis reveals the impact of amino acid insertions and deletions on protein stability and function.

Magdalena Topolska, Antoni Beltran, Ben Lehner

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. A NovelInternational journal of molecular sciences · 2026
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  13. Sequence Variation and In Silico Protein Characterization ofInternational journal of molecular sciences · 2025
    Article
  14. Article
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  18. Article
  19. Structural and energetic analysis of stabilizing indel mutations.bioRxiv : the preprint server for biology · 2024
    Article
  20. Comprehensive deletion scan of anti-CRISPR AcrIIA4 reveals essential and dispensable domains for Cas9 inhibition.Proceedings of the National Academy of Sciences of the United States of America · 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

3 authors.

Magdalena TopolskaCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Antoni BeltranCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Ben LehnerCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain. bl11@sanger.ac.uk.ORCID http://orcid.org/0000-0002-8817-1124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amino acid insertions and deletions (indels) are an abundant class of genetic variants. However, compared to substitutions, the effects of indels on protein stability are not well understood. To better understand indels here we analyse new and existing large-scale deep indel mutagenesis (DIM) of structurally diverse proteins. The effects of indels on protein stability vary extensively among and within proteins and are not well predicted by existing computational methods. To address this shortcoming we present INDELi, a series of models that combine experimental or predicted substitution effects and secondary structure information to provide good prediction of the effects of indels on both protein stability and pathogenicity. Moreover, quantifying the effects of indels on protein-protein interactions suggests that insertions can be an important class of gain-of-function variants. Our results provide an overview of the impact of indels on proteins and a method to predict their effects genome-wide.

Indexed as

INDEL MutationProteinsAmino AcidsComputational BiologyHumansMutagenesisProtein StabilityAmino AcidsProteins

Identifiers

PMID40097423
PMCPMC11914627

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Registered trials

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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.