A research team engineered a rigid, nanometer-scale protein module to address the challenge of measuring antibody flexibility ...

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 ...

By extending a naturally rigid bacterial protein by 50% while preserving geometry and stability, the study introduces protein ...

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 ...

Australian company OmnigeniQ has revealed the first computer model of a human protein as it exists in the body, confirming that native protein ...