Sentence examples for molecular evolution models from inspiring English sources

The self-assembly of helical peptides and information transfer through autocatalysis and cross-catalysis are the foundation of peptide-based molecular evolution models.

The ability to meaningfully quantify protein modularity via simple indices has the potential to aid future efforts to understand protein evolutionary rate determinants, improve molecular evolution models and engineer novel proteins.

NJ analyses were performed using the molecular evolution models selected by AIC in ModelTest 3.7 [ 56].

It therefore describes a process fundamentally different from the combined mutation-plus-selection process approximated by classical molecular evolution models.

All models were from the general time reversible (GTR) family of molecular evolution models (Tavaré, 1986), with or without four discrete rate categories approximating a gamma distribution of rate variation across sites (GTR+Γ) (Yang, 1996).

However, the use of the BEAST 2 platform for our implementation gives our sampler access to a large array of molecular evolution models and parameter priors not yet available in Migrate-n.

The maximum-composite likelihood molecular evolution model was used for neighbor-joining analysis.

The maximum-composite likelihood molecular evolution model was used for neighbor-joining analyses.

Moreover, molecular evolution modeling approaches can greatly enhance the modeling of antigenic dynamics of pathogens over time (e.g., [ 54]).

Protein-level trees were made using the JTT [ 66] molecular evolution model, and nucleotide-level trees were made using the GTR model with empirical base frequency estimates.

The best-fit molecular evolution model for each dataset (all COI sequences, each COI haplogroup and EF1a sequence data) was chosen with Akaike Information Criterion implemented in jModelTest 0.1.1 [ 69].