Directed protein evolution applies repeated rounds of genetic mutagenesis and phenotypic
screening and is often limited by experimental throughput. Through in silico prioritization of …

Directed evolution of proteins often involves a greedy optimization in which the mutation in
the highest-fitness variant identified in each round of single-site mutagenesis is fixed. The …

Directed evolution has become one of the most successful and powerful tools for protein
engineering. However, the efforts required for designing, constructing, and screening a large …

Background Directed evolution (DE) is a technique for protein engineering that involves
iterative rounds of mutagenesis and screening to search for sequences that optimize a given …

Protein engineering through machine-learning-guided directed evolution enables the
optimization of protein functions. Machine-learning approaches predict how sequence maps …

To reduce experimental effort associated with directed protein evolution and to explore the
sequence space encoded by mutating multiple positions simultaneously, we incorporate …

One of the key points of machine learning-assisted directed evolution (MLDE) is the
accurate learning of the fitness landscape, a conceptual mapping from sequence variants to …

Proteins—molecular machines that underpin all biological life—are of significant therapeutic
and industrial value. Directed evolution is a high-throughput experimental approach for …

Synthetic biology is a fast-evolving research field that combines biology and engineering
principles to develop new biological systems for medical, pharmacological, and industrial …

Directed evolution, a strategy for protein engineering, optimizes protein properties (that is,
fitness) by expensive and time-consuming screening or selection of a large mutational …