Directed evolution circumvents our profound ignorance of how a protein's sequence encodes its function by using iterative rounds of random mutation and artificial selection to discover new and useful proteins. Proteins can be tuned to adapt to new functions or environments by simple adaptive walks involving small numbers of mutations. Directed evolution studies have shown how rapidly some proteins can evolve under strong selection pressures and, because the entire 'fossil record' of evolutionary intermediates is available for detailed study, they have provided new insight into the relationship between sequence and function. Directed evolution has also shown how mutations that are functionally neutral can set the stage for further adaptation
Understanding the protein fitness landscape is important for describing how natural proteins evolve ...
Protein engineering through machine-learning-guided directed evolution enables the optimization of p...
Protein engineering through machine-learning-guided directed evolution enables the optimization of p...
Directed evolution circumvents our profound ignorance of how a protein's sequence encodes its functi...
Directed evolution is a widely-used engineering strategy for improving the stabilities or biochemica...
Applying artificial selection to create new proteins has allowed us to explore fundamental processes...
Directed evolution is a widely-used engineering strategy for improving the stabilities or biochemica...
Directed evolution can generate a remarkable range of new enzyme properties. Alternate substrate spe...
The principles governing protein evolution under strong selection are important because of the recen...
The stunning array of features and functions exhibited by proteins in nature should convince most sc...
The stunning array of features and functions exhibited by proteins in nature should convince most sc...
The diverse array of protein functions depends upon these molecules' reliable ability to fold into t...
Proteins are evolvable in the sense that they are readily able to acquire new or improved functions ...
Proteins are evolvable in the sense that they are readily able to acquire new or improved functions ...
Understanding the protein fitness landscape is important for describing how natural proteins evolve ...
Understanding the protein fitness landscape is important for describing how natural proteins evolve ...
Protein engineering through machine-learning-guided directed evolution enables the optimization of p...
Protein engineering through machine-learning-guided directed evolution enables the optimization of p...
Directed evolution circumvents our profound ignorance of how a protein's sequence encodes its functi...
Directed evolution is a widely-used engineering strategy for improving the stabilities or biochemica...
Applying artificial selection to create new proteins has allowed us to explore fundamental processes...
Directed evolution is a widely-used engineering strategy for improving the stabilities or biochemica...
Directed evolution can generate a remarkable range of new enzyme properties. Alternate substrate spe...
The principles governing protein evolution under strong selection are important because of the recen...
The stunning array of features and functions exhibited by proteins in nature should convince most sc...
The stunning array of features and functions exhibited by proteins in nature should convince most sc...
The diverse array of protein functions depends upon these molecules' reliable ability to fold into t...
Proteins are evolvable in the sense that they are readily able to acquire new or improved functions ...
Proteins are evolvable in the sense that they are readily able to acquire new or improved functions ...
Understanding the protein fitness landscape is important for describing how natural proteins evolve ...
Understanding the protein fitness landscape is important for describing how natural proteins evolve ...
Protein engineering through machine-learning-guided directed evolution enables the optimization of p...
Protein engineering through machine-learning-guided directed evolution enables the optimization of p...