Researchers Wrestle with Accuracy of AI Technology Used to Create New Drug Candidates

Researchers at the UNC School of Medicine, UCSF, Stanford, and Harvard determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.

AF2Complex: Researchers Leverage Deep Learning to Predict Physical Interactions of Protein Complexes

Proteins are the molecular machinery that makes life possible, and researchers have long been interested in a key trait of protein function: their three-dimensional structure. A new study by Georgia Tech and Oak Ridge National Laboratory details a computational tool able to predict the structure protein complexes – and lends new insights into the biomolecular mechanisms of their function.