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In the past decade methods of directed molecular evolution have proven revolutionary in protein engineering.
Previous reports on topological factors influencing molecular evolution have always described negative correlations [40].
For DNA sequence data on the other hand, multiple models of molecular evolution have been developed based on empirical data, and a robust statistical framework exists to evaluate the validity of these models for inferring phylogenetic relationships [52].
Several models of molecular evolution have been proposed to account for the preservation of duplicate genes.
Studies of molecular evolution have demonstrated that the trajectory of natural protein evolution is highly context-dependent.
Caenorhabditis nematodes provide an increasingly valuable model in evolutionary genetics but, until recently, analyses of molecular evolution have been limited by the extreme sequence divergence between known species.
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These results demonstrate that despite the overall stochasticity, even molecular evolution has a certain degree of repeatability and predictability under the pressures of natural selection.
As these techniques became predominant sources of data, models of molecular evolution had to be created to take advantage of the particular form of data being generated.
Ohta's work in the field of molecular evolution has been recognized internationally, as attested to by her recent awards and offices.
Another reason is that molecular evolution has shown all living organisms, from bacteria to humans, to be related by descent from common ancestors.
Direct molecular evolution has been used to improve catalytic activity and solvent tolerance [77].
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