Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Retrobiosynthesis provides an effective and sustainable approach to producing functional
molecules. The past few decades have witnessed a rapid expansion of biosynthetic …

A solid–electrolyte interphase (SEI) is highly desirable to restrain Zn dendrite growth and
side reactions between a Zn anode and water in rechargeable aqueous zinc-ion batteries …

Designing protein sequences towards desired properties is a fundamental goal of protein
engineering, with applications in drug discovery and enzymatic engineering. Machine …

Protein language models have shown remarkable success in learning biological information
from protein sequences. However, most existing models are limited by either autoencoding …

The degree to which evolution is predictable is a fundamental question in biology. Previous
attempts to predict the evolution of protein sequences have been limited to specific proteins …

Machine learning (ML) is revolutionizing our ability to understand and predict the complex
relationships between protein sequence, structure, and function. Predictive sequence …

Protein engineering is an emerging field in biotechnology that has the potential to
revolutionize various areas, such as antibody design, drug discovery, food security, ecology …

All‐solid‐state lithium batteries (ASSLBs) employing sulfide solid electrolytes (SEs) promise
sustainable energy storage systems with energy‐dense integration and critical intrinsic …

Although protein engineering, which iteratively optimizes protein fitness by screening the
gigantic mutational space, is constrained by experimental capacity, various machine …