Your English writing platform
Discover LudwigSuggestions(5)
Exact(10)
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.
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 molecular evolution model of the sequences was estimated by jModelTest [ 59] and the phylogenetic tree was constructed using the neighbor-joining method in MEGA 5.05 [ 60].
LTR sequences were aligned in MEGA v3.1 and the observed divergence was corrected following the Jukes and Cantor molecular evolution model, as proposed by Vitte et al. [ 33].
Choosing an appropriate model of molecular evolution (model selection) is an important part of phylogenetics, and can affect the accuracy of phylogenetic trees, divergence dates, and model parameters [ 1- 11].
Similar(50)
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].
Moreover, molecular evolution modeling approaches can greatly enhance the modeling of antigenic dynamics of pathogens over time (e.g., [ 54]).
It therefore describes a process fundamentally different from the combined mutation-plus-selection process approximated by classical molecular evolution models.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com