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This review describes how molecular evolution methods are applied for development of peptide, antibody and phage probes, and summarizes the author's own data on development of landscape phage probes against Salmonella typhimurium.
Using genetics, molecular evolution methods and mathematical modelling, we analyzed all MOMP sequences reported worldwide, composed by 5026 strains from 33 geographic regions of five continents.
Additionally, an improved phylogeny enables the better application of molecular evolution methods, as these often depend on an understanding of the species tree (e.g. [ 10]).
In this approach, noncoding sequences are not compared on a nucleotide-by-nucleotide basis following standard molecular evolution methods, but instead, the density of TFBSs in a specific genomic region are compared across taxa.
For example, in vitro screening techniques and adaptive molecular evolution methods, such as phage display (4), have made it easier to rapidly screen enormous molecular libraries to find promising binding ligands (5).
By combining available crystal structures with molecular evolution methods we have provided solid support to the idea that the modern UlaGL family of carbohydrate and vitamin metabolism originated from an ancient RNA processing enzyme by the addition of N and C-terminal oligomerization motifs and the specialization of its active site.
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Herein, we describe the use of a molecular evolution method to develop novel hBChE variants with increased resistance to nerve agent model compounds.
The molecular evolution method identified the previously described hBChE G117H variant that showed nerve agent resistance as well as novel variants G117N, G117R, E197C, and L125V that showed nerve agent model compound resistance.
Herein, we describe the use of a molecular evolution method to develop novel hBChE variants with increased resistance to stereochemically defined nerve agent model compounds of soman, sarin, and cyclosarin.
From a molecular evolution perspective, this method can be interpreted as an attempt to characterize rate heterogeneity or variations in constraint.
Algorithm for Chemical Space Exploration with Stochastic Search (ACSESS) combines molecular evolution and maximum diversity methods to create libraries representative of various chemical spaces [53].
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