Stanford University Develops Algorithm to Predict Molecular Structures
Research scholars at Stanford University have used new machine learning techniques to determine the structure of molecules. Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine a molecular structure – and even such massive efforts are frequently unsuccessful. The new algorithm predicts accurate molecular structures and, in doing so, can allow scientists to explain how different molecules work, with applications ranging from fundamental biological research to informed drug design practices. If a pair of proteins is implicated in a disease and if their interactions can be predicted, it paves the way for better drug targetting.