Impact of phylogeny on structural contact inference from protein sequence data
| Autor: | Nicola Dietler, Umberto Lupo, Anne-Florence Bitbol |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
data analysis
Biomedical Engineering Biophysics FOS: Physical sciences Bioengineering residue contacts phylogeny Quantitative Biology - Quantitative Methods Biochemistry information Biomaterials modelling Physics - Biological Physics capture Quantitative Methods (q-bio.QM) inference model Biomolecules (q-bio.BM) Quantitative Biology - Biomolecules Biological Physics (physics.bio-ph) FOS: Biological sciences protein sequences direct-coupling analysis Biotechnology contact prediction correlated mutations |
| Zdroj: | Journal of The Royal Society Interface. 20(199) |
| ISSN: | 1742-5662 |
| DOI: | 10.1098/rsif.2022.0707 |
| Popis: | Local and global inference methods have been developed to infer structural contacts from multiple sequence alignments of homologous proteins. They rely on correlations in amino-acid usage at contacting sites. Because homologous proteins share a common ancestry, their sequences also feature phylogenetic correlations, which can impair contact inference. We investigate this effect by generating controlled synthetic data from a minimal model where the importance of contacts and of phylogeny can be tuned. We demonstrate that global inference methods, specifically Potts models, are more resilient to phylogenetic correlations than local methods, based on covariance or mutual information. This holds whether or not phylogenetic corrections are used, and may explain the success of global methods. We analyse the roles of selection strength and of phylogenetic relatedness. We show that sites that mutate early in the phylogeny yield false positive contacts. We consider natural data and realistic synthetic data, and our findings generalise to these cases. Our results highlight the impact of phylogeny on contact prediction from protein sequences and illustrate the interplay between the rich structure of biological data and inference. 31 pages, 19 figures, 3 tables |
| Databáze: | OpenAIRE |
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