A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a technological advance that promises to reduce the time required to develop new drugs and other medical treatments. A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a technological advance that promises to reduce the time required to develop new drugs and other medical treatments. Molecular & Computational biology Phys.org – latest science and technology news stories
Researchers develop AI model that predicts the accuracy of protein–DNA binding
