Descent from a common ancestor restricts exploration of protein sequence space

Isakova LH, Streltsova E, Bochkareva O, Vlasov PK, Kondrashov F. 2026. Descent from a common ancestor restricts exploration of protein sequence space. Proceedings of the National Academy of Sciences. 123(14), e2532018123.

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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.
Publishing Year
Date Published
2026-04-07
Journal Title
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences
Acknowledgement
We thank Olga Kalinina for feedback on our manuscript, Vsevolod Kuksin for fruitful discussions and Lev Tsarin for participation in the design of our models. This work was supported by Japan Science and Technology Agency as part of Adopting Sustainable Partnerships for Innovative Research Ecosystem, Grant No. JPMJAP24B2 (F.A.K. and L.H.I.), and Fonds Zur Förderung der Wissenschaftlichen Forschung Grant ESP253-B (O.O.B.)
Volume
123
Issue
14
Page
e2532018123
eISSN
IST-REx-ID

Cite this

Isakova LH, Streltsova E, Bochkareva O, Vlasov PK, Kondrashov F. Descent from a common ancestor restricts exploration of protein sequence space. Proceedings of the National Academy of Sciences. 2026;123(14):e2532018123. doi:10.1073/pnas.2532018123
Isakova, L. H., Streltsova, E., Bochkareva, O., Vlasov, P. K., & Kondrashov, F. (2026). Descent from a common ancestor restricts exploration of protein sequence space. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2532018123
Isakova, Lada H., Elizaveta Streltsova, Olga Bochkareva, Peter K. Vlasov, and Fyodor Kondrashov. “Descent from a Common Ancestor Restricts Exploration of Protein Sequence Space.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2026. https://doi.org/10.1073/pnas.2532018123.
L. H. Isakova, E. Streltsova, O. Bochkareva, P. K. Vlasov, and F. Kondrashov, “Descent from a common ancestor restricts exploration of protein sequence space,” Proceedings of the National Academy of Sciences, vol. 123, no. 14. National Academy of Sciences, p. e2532018123, 2026.
Isakova LH, Streltsova E, Bochkareva O, Vlasov PK, Kondrashov F. 2026. Descent from a common ancestor restricts exploration of protein sequence space. Proceedings of the National Academy of Sciences. 123(14), e2532018123.
Isakova, Lada H., et al. “Descent from a Common Ancestor Restricts Exploration of Protein Sequence Space.” Proceedings of the National Academy of Sciences, vol. 123, no. 14, National Academy of Sciences, 2026, p. e2532018123, doi:10.1073/pnas.2532018123.
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