AI Breakthrough Enhances DNA-Based Disease and Aging Predictions

Scientists at Los Alamos National Laboratory have developed a new AI model, EPBDxDNABERT-2, which enhances the prediction of transcription factor binding to DNA, a key process in gene regulation related to diseases like cancer. By integrating DNA breathing dynamics into a deep learning framework, the model significantly improves the accuracy of predicting where transcription factors bind on the genome, aiding potential drug development. The model was trained using extensive gene sequencing data and tested on the Venado supercomputer, showing a 9.6% improvement in prediction accuracy.