Professor Arne Elofsson is a Fellow of the International Society for Computational Biology (ISCB) and Chief Scientist of SciLifeLab in Sweden, dedicated to unraveling the structural functional mysteries of biomolecules. The "Multi scale Protein Dynamics Prediction Framework" developed by him combines deep learning with molecular dynamics simulation for the first time, improving the accuracy of membrane protein structure prediction to atomic level resolution and opening up new paths for targeted drug design in Alzheimer's disease. The ProFOLD open-source platform built by its team has been used for protein function annotation by more than 1300 research institutions worldwide, supporting over 20000 academic papers, and is known as the "populist tool of the post AlphaFold era".
As the director of the Swedish National Institute of Medical Bioinformatics, Professor Elofsson's "AI+Multiomics" cross disciplinary training program has cultivated a new generation of bio computing composite talents for Europe. The "three-level biological data intelligent mining model" (genome proteome phenotype group) proposed by him has successfully improved the accuracy rate of breast cancer subtype classification to 98%, and the related achievements have been included in the top ten technological breakthroughs of Nature Medicine in 2023.