This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can do ...

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...

An innovative machine learning approach has been shown to rapidly predict multiple protein configurations. A new paper presents the method that predicts the relative populations of protein ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...

Textbooks often depict proteins in one conformation, but real life, as usual, is much messier. While some proteins have stable, unchanging structures, many others have intrinsically disordered regions ...

Understanding the structure of proteins is critical for demystifying their functions and developing drugs that target them. To that end, a team of researchers at Brown University has developed a way ...