Evidence map›Paper›PMID 41915737›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Descent from a common ancestor restricts exploration of protein sequence space.

Lada H Isakova, Elizaveta Streltsova, Olga O Bochkareva, Peter K Vlasov, Fyodor A Kondrashov

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Maynard Smith's analogy, realized: Common ancestry constrains evolutionary percolation through protein space.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Descent from a common ancestor restricts exploration of protein sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Lada H IsakovaEvolutionary and Synthetic Biology Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa 904-0495, Japan.ORCID 0009-0005-4909-0689
Elizaveta StreltsovaInstitute of Science and Technology Austria, Klosterneuburg 3400, Austria.ORCID 0009-0004-9507-2695
Olga O BochkarevaCentre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, Division of Computational System Biology, University of Vienna, Wien 1030, Austria.ORCID 0000-0003-1006-6639
Peter K VlasovCentro de Astrobiología, CSIC-INTA, Torrejón de Ardoz, Madrid 28850, Spain.ORCID 0000-0003-0489-4200
Fyodor A KondrashovEvolutionary and Synthetic Biology Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa 904-0495, Japan.ORCID 0000-0001-8243-4694

Funding

Austrian Science Fund (FWF) ESP253-BMEXT | Japan Science and Technology Agency (JST) JPMJAP24B2
6 · The paper itself

Abstract

How functional protein sequences are distributed in sequence space is fundamentally important for evolutionary theory and protein design, particularly if a large diversity of protein functions are hidden in evolutionarily unexplored areas of the sequence space. However, this question is understudied in part because experimental and computational studies use extant sequences as a starting point to study sequence space. Here, we study whether extant sequences are representative of the entire functional sequence space. Across thousands of protein families from vertebrates and bacteria we calculate the dimensionality and the volume of sequence space occupied by extant homologs. We find that the observed dimensionality and volume of extant sequence space are minuscule, many orders of magnitude smaller than what we estimated using a model of protein evolution. Simulating sequence evolution we then quantify the impact of phylogeny, selection, and epistasis on restricting the evolutionary exploration of sequence space. We find that sequence evolution from a single common ancestor, or a single point of origin in sequence space, is by far the largest limiting factor that reduces the dimensionality and volume of extant sequence space. These results indicate that there are vast areas of functional sequence space that have not been explored in evolution because of the excessive restrictions on natural exploration of the protein sequence space imposed by the point of origin effect. We suggest that protein design methods that rely on extant sequences may be limited in their ability to discover truly novel functions.

Indexed as

Evolution, MolecularProteinsAmino Acid SequenceAnimalsPhylogenyProteinsdimensionalityprotein evolutionprotein functionsequence space

Identifiers

PMID41915737
PMCPMC13056090

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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.