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Evolutionary models of amino acid substitutions based on the tertiary structure of their neighborhoods
- Source :
- Proteins: Structure, Function, and Bioinformatics. 89:1565-1576
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Intra-protein residual vicinities depend on the involved amino acids. Energetically favorable vicinities (or interactions) have been preserved during evolution, while unfavorable vicinities have been eliminated. We describe, statistically, the interactions between amino acids using resolved protein structures. Based on the frequency of amino acid interactions, we have devised an amino acid substitution model that implements the following idea: amino acids that have similar neighbors in the protein tertiary structure can replace each other, while substitution is more difficult between amino acids that prefer different spatial neighbors. Using known tertiary structures for α-helical membrane (HM) proteins, we build evolutionary substitution matrices. We constructed maximum likelihood phylogenies using our amino acid substitution matrices and compared them to widely-used methods. Our results suggest that amino acid substitutions are associated with the spatial neighborhoods of amino acid residuals, providing, therefore, insights into the amino acid substitution process.
- Subjects :
- Protein Conformation, alpha-Helical
Protein Folding
Stereochemistry
Maximum likelihood
Biochemistry
Protein evolution
Evolution, Molecular
Protein structure
Structural Biology
Protein Interaction Domains and Motifs
Amino Acid Sequence
Amino Acids
Databases, Protein
Molecular Biology
chemistry.chemical_classification
Substitution (logic)
Computational Biology
Membrane Proteins
Amino acid substitution
Protein tertiary structure
Protein Structure, Tertiary
Amino acid
Amino Acid Substitution
chemistry
Thermodynamics
Protein Conformation, beta-Strand
Algorithms
Software
Subjects
Details
- ISSN :
- 10970134 and 08873585
- Volume :
- 89
- Database :
- OpenAIRE
- Journal :
- Proteins: Structure, Function, and Bioinformatics
- Accession number :
- edsair.doi.dedup.....f740d7b2a68c3ea214d897c3b0dbd639
- Full Text :
- https://doi.org/10.1002/prot.26178