Evidence map›Paper›PMID 40270191›Full record

ArticleSystematic biology2026

Site-Specific Structure and Stability Constrained Substitution Models Improve Phylogenetic Inference.

Ivan Lorca-Alonso, Fernando Otero-de-Navascues, Miguel Arenas, Ugo Bastolla

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Article in Systematic biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

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4 authors.

Ivan Lorca-AlonsoCentro de Biología Molecular "Severo Ochoa," CSIC-UAM Cantoblanco, 28049 Madrid, Spain.ORCID 0009-0005-1132-7310
Fernando Otero-de-NavascuesCentro de Biología Molecular "Severo Ochoa," CSIC-UAM Cantoblanco, 28049 Madrid, Spain.
Miguel ArenasCINBIO, University of Vigo, 36310 Vigo, Spain.ORCID 0000-0002-0516-2717
Ugo BastollaCentro de Biología Molecular "Severo Ochoa," CSIC-UAM Cantoblanco, 28049 Madrid, Spain.ORCID 0000-0001-9342-4678

Funding

CBMSOFEDERFundación Ramón ArecesSpanish Agency of Research AEI/10.13039/501100011033Spanish Ministery of Science MCIU PID2019-107931GA-I00Spanish Ministery of Science MCIU PID2019-109041GB-C22Spanish Ministery of Science MCIU PID2023-151032 NB-C21Spanish Ministery of Science MCIU PID2023-151032NB-C22UE
6 · The paper itself

Abstract

In previous studies, we presented our site-specific Stability Constrained substitution models of Protein Evolution (Stab-CPE) that define fitness as the probability of finding a protein folded in its native state but ignore changes in the native structure. Stab-CPE models can be used to predict a more realistic evolutionary variability across protein sites, nevertheless they still qualitatively differ from observed data and appear too tolerant to mutations. Here, we present novel structurally constrained substitution models (Str-CPE) that define fitness based on the structural deformation produced by a mutation, which we predict adopting an extension of Julián Echave's linearly forced elastic network model. Compared with our previous Stab-CPE models, the novel Str-CPE models are more stringent (they predict lower sequence entropy and substitution rate), provide higher likelihood to multiple sequence alignments (MSAs) that include one or more known structures, and better predict the observed conservation across sites. The models that combine Str-CPE and Stab-CPE models are even more stringent and fit the empirical MSAs better. We collectively refer to our models as Structure and Stability Constrained substitution models of Protein Evolution (SSCPE). When using distantly related proteins, we find that more similar phylogenies are inferred under the SSCPE models than under traditional empirical substitution models if compared with the corresponding reference phylogenies inferred using structural distances. Therefore, SSCPE models seem to be much better-fitting substitution models for deep phylogeny inference. The SSCPE models have been implemented in the PERL-based program SSCPE.pl, which uses RAxML-NG to infer phylogenies under the SSCPE model given a concatenated MSA and a list of protein structures that match the sequences in the MSA. This program is freely available and downloadable from https://gihub.com/ugobas/SSCPE.

Indexed as

ClassificationEvolution, MolecularModels, GeneticPhylogenyProteinsSequence AlignmentProteinsphylogenetic inferenceprotein folding stabilityprotein structure evolutionSSCPE modelstructure and stability constrained protein evolutionSubstitution model

Identifiers

PMID40270191
PMCPMC13048032

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