معرفی
Erik Lindahl is a Professor at Stockholm University with a co-affiliation at KTH Royal Institute of Technology. He leads a research group at SciLifeLab focused on membrane proteins, particularly ion channels and pumps that transport ions for nervous system functioning. His work bridges computational and experimental approaches in biophysics.
Dr. Lindahl's research spans multiple disciplines within biophysics and computational biology. His team uses bioinformatics to build models of human receptors based on bacterial structures, biomolecular simulations to understand molecular-level interactions, and experimental techniques like electrophysiology and spectroscopy. Key research areas include voltage-gated ion channels, ligand-gated ion channels, ATPase pumps, and allosteric modulation. His group has made significant contributions to understanding how these molecular machines function at the atomic level.
The recent publications reveal a strong focus on the structural and functional mechanisms of ion channels and membrane proteins. His work combines molecular dynamics simulations with experimental validation, particularly in the areas of voltage sensing, alcohol modulation of receptors, and ion pump mechanisms. The publications demonstrate expertise in both computational methodology development and biological application.
Dr. Lindahl leads a substantial research group with multiple PhD students, postdocs, and researchers. His team collaborates extensively, as evidenced by the multi-institutional authorship on his publications. He also contributes to major methodological developments in computational biophysics, most notably through his involvement with the GROMACS molecular simulation package.
The research group operates at the intersection of several laboratories and facilities, leveraging both computational resources and experimental setups for electrophysiology and structural biology. This integrated approach allows the team to tackle complex questions about membrane protein function from multiple angles, combining theoretical modeling with empirical validation.
