A scientist combines attention neural networks with graph neural networks to better understand and design proteins. The approach couples the strengths of geometric deep learning with those of language ...

Figure 1. This figure depicts the four categories of protein druggability target screening tools discussed in this section, which include structure-based methods, sequence-based methods, machine ...

Researchers use machine learning to assign ‘fingerprints’ to proteins based on their surface affinity alone, predicting which proteins would interact based on these molecular fingerprints. A study led ...

Neural networks have been taught to quickly read the surfaces of proteins — molecules critical to many biological processes. The advance is already being used to create defenses for the virus ...