USC researchers have created a new AI model that can predict how different proteins will bind to DNA. This breakthrough can help speed up the development of new drugs and treatments. The model, named Deep Predictor of Binding Specificity (DeepPBS), uses geometric deep learning to analyze protein–DNA structures.
DeepPBS can predict how proteins interact with DNA without needing complex lab tests. This tool works for various protein types, making it a versatile option for scientists. It also supports designing new proteins, which could lead to innovations in cancer treatment and synthetic biology.
The development of DeepPBS marks a significant step forward in understanding protein–DNA interactions, following advances like DeepMind’s AlphaFold. This AI model could play a key role in future medical and biological research.
Source: phys
