Selecton
Selecton identifies site-specific selection in protein sequences by comparing synonymous (K(s)) and non-synonymous (K(a)) substitution rates and estimating the per-site omega (ω) ratio to infer positive and purifying selection.
Key Features:
- Ratio Calculation and Visualization: Computes the per-amino-acid-site K(a)/K(s) (ω) ratio and represents ω values using a color-coding scheme.
- Evolutionary Models: Implements multiple evolutionary models, including a mechanistic-empirical model that accounts for the physicochemical properties of amino acids.
- Statistical Support and Significance Testing: Provides statistical support for ω estimates and tests the statistical significance of site-specific scores for positive or purifying selection.
- Molecular Surface Projection and 3D Mapping: Projects per-site selection estimates onto protein three-dimensional structures and molecular surfaces to reveal spatial clusters of selected residues.
- Genetic Code and Phylogeny Options: Accommodates different genetic codes and accepts user-provided phylogenetic trees for analysis.
Scientific Applications:
- Molecular Evolution: Identify sites under positive or purifying selection to characterize evolutionary pressures acting on proteins.
- Structural Bioinformatics: Map selection patterns onto protein structures to infer the functional and adaptive significance of residues.
- Functional Residue Prediction: Highlight candidate functional or adaptive residues to guide experimental validation.
- Drug Design and Targeting: Inform drug design by identifying evolutionarily conserved or variable regions within protein structures.
Methodology:
Computes K(a) and K(s) per site and derives ω (K(a)/K(s)); applies multiple evolutionary models including a mechanistic-empirical model that incorporates amino acid physicochemical properties; performs statistical significance testing of site-specific ω estimates; maps selection estimates onto protein 3D structures and molecular surfaces; accepts different genetic codes and user-supplied phylogenetic trees.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 2/14/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Stern A, Doron-Faigenboim A, Erez E, Martz E, Bacharach E, Pupko T. Selecton 2007: advanced models for detecting positive and purifying selection using a Bayesian inference approach. Nucleic Acids Research. 2007;35(Web Server):W506-W511. doi:10.1093/nar/gkm382. PMID:17586822. PMCID:PMC1933148.
Doron-Faigenboim A, Stern A, Mayrose I, Bacharach E, Pupko T. Selecton: a server for detecting evolutionary forces at a single amino-acid site. Bioinformatics. 2005;21(9):2101-2103. doi:10.1093/bioinformatics/bti259. PMID:15647294.