Bluesky
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Stockholm University · SciLifeLab
AI and structural bioinformatics for proteins, complexes, and evolution
The Elofsson Lab develops computational methods to understand how proteins fold, interact, evolve, and function, combining machine learning, structural bioinformatics, and large-scale biological data.
Protein interactions
Protein evolution
Membrane proteins
Machine learning
Current focus
AI for proteoforms, complexes, dynamics, and molecular systems
Recruitment
Open to strong PhD and postdoc enquiries
181+
Publications listed in the current CV
30 MSEK
KAW project: Learning the language of the cell
4.2 MSEK
VR 2025 project on protein domain architecture evolution
5
Current PhD students listed in the CV
Founding and strategic funders
Major support from KAW, DDLS, EU and Vetenskapsradet (VR).
News
Latest social updates from Bluesky.
Research areas
The group combines structural bioinformatics, machine learning, and evolutionary analysis to understand proteins, complexes, membranes, and molecular systems.
Protein structure and complex prediction
From consensus and quality assessment methods to AlphaFold-era modelling of protein interactions and higher-order assemblies.
Protein evolution and domain architecture
How domains change, duplicate, and rearrange across the tree of life, now with structure-aware analysis using AlphaFoldDB, TED, and ECOD.
Membrane proteins and topology
Methods and mechanistic insight for membrane protein topology, transporters, and membrane-protein structure.
AI for proteoforms and molecular interactions
Representation learning, graph methods, and protein language models for proteoforms, interactions, and design.
Visual snapshots from current work
Recent projects combine large-scale structural data, evolutionary analysis, and deep learning to address questions that range from molecular systems in the cell to the emergence of protein architectures across the tree of life.
About the lab
The lab led by Arne Elofsson develops computational methods for protein science, with longstanding contributions in protein structure prediction, membrane protein topology prediction, protein model quality assessment, and protein evolution.
Why join?
We offer projects at the interface of AI, protein science, and structural biology, with strong links to Stockholm University, SciLifeLab, and national computational infrastructure.