The world of protein engineering just took a giant leap forward. A team in China has developed a method that makes designing better proteins faster, cheaper, and easier.

Recent breakthroughs in artificial intelligence have transformed protein structure biology from a data-limited discipline into a data-driven frontier of ...

Understanding what is happening inside the “black box” of large protein models could help researchers choose better models ...

The scientists used AI technology to design proteins that would activate a cell signaling language called Notch, which is ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety ...

Accurate protein structure prediction is critical for decoding the functional mechanisms of biomolecules, which exemplifies molecular biology's central "structure-function" paradigm and enhances ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.

Semirational protein design is a combination of rational and directed evolution methods. 9 Scientists consider this strategy more effective because they can use computational or bioinformatic modeling ...

MP, which was found to play a critical role in upholding mitochondrial structure and regulating metabolic stress in mouse fat cells.