معرفی
Björn Wallner is a Professor and Head of Division at the Department of Physics, Chemistry and Biology (IFM) at Linköping University. His research focuses on computational structural bioinformatics, protein structure prediction, and dynamics, leveraging AI and machine learning. He is renowned for pioneering multiple sequence embeddings foundational to AlphaFold and contributions to the Rosetta software suite. His work integrates experimental data with computational methods to study proteins like MexR (antibiotic resistance regulator) and the disordered Myc protein-Pin1 interaction. Key innovations include error prediction tools for structural models and advancements in AlphaFold for large protein complexes.
Research interests span protein modeling, AI-driven structural biology, and applications in drug discovery. Notable contributions include AFsample2 for ensemble predictions, MassiveFold for large protein structures, and integrating experimental constraints into AlphaFold. His methods have improved molecular replacement in crystallography and protein-protein docking. Wallner collaborates with SciLifeLab Linköping, advancing data-driven life science research.
His recent work highlights advancements in multimeric complex modeling, structural variation analysis, and the mechanistic understanding of proteins involved in cancer and antibiotic resistance. These contributions underscore the intersection of computational methods and experimental biology in advancing structural biology's frontiers.
