AI

Scientists from Peking University, China, presented a new protein-protein docking framework, ColabDock, that incorporates experimental restraints into protein complex structure modeling with an aim to circumvent incongruity between experiment and prediction through integrating AlphaFold2 (AF2) energy function and restraints posteriori, outcompetes previous FFT (Fast Fourier Transform)-based protein-protein docking algorithms, and has the potential to generate…

Scientists from Seoul National University, South Korea, and the Max Planck Institute for Multidisciplinary Sciences, Germany, have developed a deep learning-based method called Foldseek, which is a highly accelerated and accurate method for searching protein structures. Technological advances in structure prediction methods have yielded millions of protein structures, thus creating a bottleneck for searching operations…