Protein structure and dynamics

Map the conformational landscape of protein folding and complex formation

Bridge the gap between static structures and dynamic function with single-molecule clarity

Proteins are highly dynamic – undergoing conformational changes during folding, ligand binding, and higher-order complex formation. Identifying conformational states and tracking interconversions between them is crucial to understanding how protein structure and dynamics relate to their function. Mapping protein misfolding and aggregation is also vitally important for understanding their role in disease. 

However, catching these transient or early events is often challenging with static or ensemble techniques alone. By tracking individual molecules in real time, researchers can measure complex kinetics, map dynamic conformational shifts with high temporal resolution and understand the stoichiometries of complex formation.

Single-molecule Förster resonance energy transfer (smFRET) and Fluorescence correlation spectroscopy (FCS) bring static snapshots to life. By measuring distances between specific residues in real time, smFRET maps the conformational landscape of a protein, revealing how it shifts between active, inactive, and intermediate states. This is particularly transformative for intrinsically disordered proteins (IDPs), offering complementary insights to traditional structural biology techniques. Additionally, FCS monitors the protein’s hydrodynamic size and assembly state, allowing for the precise tracking of folding pathways, allosteric transitions, and the earliest stages of aggregation.

Transform static snapshots into dynamic structures in their native environments

EI-FLEX DATA

smFRET captures global conformational changes in Rag GTPase upon guanine nucleotide binding

In the absence of guanine nucleotides, Rag GTPase occupies an open, dynamic conformation (low FRET efficiency, left column). This contrasts with dually GDP-bound Rag GTPase, where it remains in an open but static conformation (low FRET efficiency, middle column). When both GDP and GTP are bound, the protein adopts a static closed conformation (high FRET efficiency, right column). 

See the paper on this study to explore how smFRET was performed on the EI-FLEX.

Enzymes inhibitors - figure from Doxsey
Top row: smFRET histograms and FRET efficiency vs stoichiometry plots. Middle row: Burst variance analysis, showing theoretical standard deviation of FRET efficiency (dotted line) and experimentally observed standard deviation (triangles). Bottom row: Hidden Markov modelling data indicating donor only (D), acceptor only (A), low-FRET (L), mid-FRET (M) and high-FRET (H) populations. A) Unbound Rag GTPase (EDTA only) B) Rag GTPase with GDP only C) Rag GTPase with GDP and GTP Figure taken from: Doxsey, D. D. & Shen, K. Global conformation of the Rag GTPase heterodimer governs eukaryotic amino acid sensing. Proceedings of the National Academy of Sciences 122, e2517050122 (2025).

Protein structure and dynamics papers and pre-prints featuring EI-FLEX data

Discover how single-molecule FRET data on the EI-FLEX helped to uncover two previously hidden intermediate conformational states of a bacterial Rep helicase, overcoming surface-induced artefacts to reveal its dynamic mechanism in action.
Discover EI-FLEX data revealing amino acid sensing in eukaryotic cells.
Discover how Prof. Thorsten Hugel uses three-colour smFRET to explore protein structure, dynamics, and molecular machines in real time.

Protein structure and dynamics FAQs

How does smFRET complement other structural techniques, such as X-ray crystallography?

While X-ray crystallography provides a high-resolution snapshot of a protein in a crystal lattice, smFRET captures the protein’s behaviour in solution. It can identify multiple interconverting structures and quantify the transition rates between them.

By placing a donor and acceptor at two points on the peptide chain, the distance between them can be measured as the protein folds. This is particularly powerful for identifying short-lived folding intermediates that are the precursors to functional or pathological states.

IDPs do not have a stable 3D structure, making them challenging to understand with common structural methods. FCS can measure their hydrodynamic radius, which tells us how compact the disordered chain is. By changing salt or temperature, FCS can monitor the collapse of an IDP into a more globular form, a key step in many signalling pathways. FCS also performs well in physiologically relevant media, which is often crucial for working with IDPs. 

This is done using Burst Variance Analysis (BVA) in smFRET. If a protein is rigid, the FRET signal variance is purely due to light physics (shot noise). If the protein is flexible or ‘breathing’,  the variance will be significantly higher.

smFRET is an ideal tool for studying neurodegenerative diseases. You can watch a single protein molecule transition from its healthy fold into a misfolded state that is prone to aggregation. Because it’s a single-molecule technique, you can catch the first molecule that misfolds before it triggers a chain reaction.

As proteins begin to clump together (forming dimers, trimers, etc.), two things happen in FCS: the diffusion slows down, and the molecular brightness increases. If a dimer forms, the particle will be twice as bright as a monomer. This an ideal technique for studying the early seeds of protein aggregates.

Many proteins act as pH-sensors. By using smFRET, you can monitor how a protein’s structure shifts between different states as you titrate the pH. This is vital for studying proteins that function in acidic environments, like lysosomes or the stomach.

Yes. Many proteins consist of multiple domains connected by flexible hinges. By placing the FRET pair across the hinge, you can measure the angular distribution of the domains and how they are influenced by the binding of substrates or cofactors.

smFRET can capture how chaperones induce conformational shifts in target proteins. This is typically observed as a shift from a dynamic, broad FRET distribution of the unfolded protein to a narrow peak as a stable folded structure is induced. FCCS can also directly confirm whether a chaperone has bound a protein.

smFRET can show that binding a ligand at one site changes the structural dynamics at another distant location, such as an active site. This allows you to map the allosteric pathways that proteins use to regulate their own activity or track the allosteric effects of drugs.

“Solution-based measurements, like those taken using the EI-FLEX, avoid surface tethering, which can introduce artefacts, especially for proteins that don’t behave well near hydrophobic surfaces. Keeping proteins in solution lets you observe their native conformation, and it’s much easier experimentally: you label, dilute, and measure, often getting results in minutes rather than days or weeks with TIRF-based systems."

Other resources you might be interested in

In this technical note, we explore several key components of a confocal FRET experiment that ensure single-molecule sensitivity and accurate determination of FRET efficiencies during acquisition and analysis.
Discover everything you need to understand single-molecule FRET and use it to advance your research. Download the handbook now.
Discover a showcase of pioneering single-molecule fluorescence studies redefining molecular science.