Directed evolution aims to expedite the natural evolution process of biological molecules
and systems in a test tube through iterative rounds of gene diversifications and library …

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

Directed evolution of stereo‐, regio‐, and chemoselective enzymes constitutes a unique way
to generate biocatalysts for synthetically interesting transformations in organic chemistry and …

Motivation Machine-learning models trained on protein sequences and their measured
functions can infer biological properties of unseen sequences without requiring an …

Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

Engineering proteins and enzymes with the desired functionality has broad applications in
molecular biology, biotechnology, biomedical sciences, health, and medicine. The vastness …

Biosystems such as enzymes, pathways, and whole cells have been increasingly explored
for biotechnological applications. However, the intricate connectivity and resulting …

Rising demands for enzymes in biotechnological applications have fueled efforts to tailor
their properties towards desired functions, such as activity, selectivity, and stability …

定向进化通过建立突变体文库与高通量筛选方法, 快速提升蛋白的特定性质,
是目前蛋白质工程最为常用的蛋白质设计改造策略. 近十年随着计算机运算能力大幅提升以及 …

Nowadays, the vastly increasing demand for novel biotechnological products is supported
by the continuous development of biocatalytic applications that provide sustainable green …