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.

Explore research Join the lab Publications

Protein interactions Protein evolution Membrane proteins Machine learning

Proteoforms to complexes overview — From proteoforms to protein interactions and large molecular assemblies.

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

Current PhD students listed in the CV

Founding and strategic funders

Major support from KAW and Vetenskapsradet (VR).

News

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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.

Overview of domain analysis with AlphaFoldDB and TED — Structure-aware analysis of protein domains and their evolution.

Examples of domain architecture evolution — Domain architecture changes and structural variation across protein families.

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.