Scientists have enlisted generative artificial intelligence to complete the missing data on the distances between pairs of genes in DNA.

The integration of generative artificial intelligence (AI) in gene editing and genome engineering is revolutionizing the field of biology, enhancing precision, efficiency, and innovation in genetic research and applications. Here's how AI is transforming gene editing: 1. **Enhanced Precision and Specificity**: AI is being used to develop gene editing tools with higher precision and specificity. For instance, Neoclease's AI-generated Cas12 enzyme shows only 40.7% sequence similarity to existing Cas12 enzymes, allowing for new intellectual property and potentially more effective gene editing. 2. **New Gene Editors Created**: Profluent Bio has developed an AI-generated gene editor, OpenCRISPR-1, using their protein-designing large language model ProGen2. This editor is designed to edit human cells, highlighting the potential of AI in creating novel biological systems. 3. **Efficiency and Speed**: AI accelerates the gene editing process by analyzing complex genetic information, identifying patterns, and predicting outcomes. This reduces the time and cost associated with traditional gene editing methods. 4. **Addressing Genetic Diseases**: AI-assisted genome editing is being explored for treating genetic diseases like sickle cell anemia and thalassemia, with the potential to create cells resistant to viral infections. 5. **Synthetic and Generative Genomics**: The field of generative and synthetic genomics is emerging, where AI and gene editing combine to create new biological systems. This could lead to the development of novel genetic therapies and a deeper understanding of genetic processes. In conclusion, AI is not only enhancing existing gene editing techniques but also enabling the creation of new gene editors and biological systems. As AI technology advances, it is poised to play an increasingly significant role in the field of genetics and biomedicine.