Google Supercomputers Tackle Giant Drug-Interaction Data Crunch

By analysing the chemical structure of a drug, researchers can see if it is likely to bind to, or ‘dock’ with, a biological target such as a protein. Researchers have now unveiled a computational effort that used Google’s supercomputers to…

By analysing the chemical structure of a drug, researchers can see if it is likely to bind to, or ‘dock’ with, a biological target such as a protein. Researchers have now unveiled a computational effort that used Google’s supercomputers to assesses billions of potential dockings on the basis of drug and protein information held in public databases. The effort will help researchers to find potentially toxic side effects and to predict how and where a compound might work in the body. ‘It’s the largest computational docking ever done by mankind,’ says Timothy Cardozo, a pharmacologist at New York University’s Langone Medical Center, who presented the project at the US National Institutes of Health’s High Risk–High Reward Symposium in Bethesda, Maryland. The result, a website called Drugable, is still in testing, but it will eventually be available for free, allowing researchers to predict how and where a compound might work in the body, purely on the basis of chemical structure.

You will have a head crash on your private pack.