Biologists and mathematicians from the Moscow Institute of Physics and Technology (MIPT) have accelerated the rate at which a computer can predict the structure of protein complexes in a cell. The research was carried out by MIPT in collaboration with Stony Brook University and other scientific research centers. The study has been published in Proceedings of the National Academy of Sciences of the USA. The research will help scientists to better understand the function of cells leading to more efficient drug development in the future. The new algorithm developed will soon become part of ClusPro – an automated system for calculating protein-protein interactions. This resource, which was developed earlier by the authors of the paper, now has more than 15,000 users worldwide. In the latest CAPRI round (Critical Assessment of Prediction of Interactions – a community-wide experiment to determine the structure of proteins), the ClusPro server was recognized as the best automated system for calculating protein-protein interactions. Read more at http://insidehpc.com/2016/07/new-method-of-calculating-protein-interaction-to-speed-up-drug-development/