Ternary complex detection, cooperativity quantification, and binding interface mapping across six development stages. Native ESI-MS, SPR/SPRi, Mass Photometry, HDX-MS, XL-MS, and ITC deployed at the right point in your program.
Having these details ready helps our team suggest the most efficient strategy.
Conventional inhibitors need one measurement: binary binding affinity (KD). PROTACs and molecular glues operate through a three-component system — target protein, degrader, and E3 ligase — where the biologically relevant parameter is cooperativity (α): how strongly the degrader stabilizes the target–E3 protein–protein interface.
Published PROTAC programs have repeatedly shown that compounds with identical binary KD can differ 100-fold in cooperativity and 10-fold in cellular degradation potency. Binary binding alone does not predict efficacy.
Molecular glues often act by stabilizing or inducing new protein–protein interactions between an E3 ligase complex and a recruited substrate. Because binary target binding may be weak or undetectable, characterization should focus on induced complex formation, specificity, assembly state, and interface stabilization.
Native ESI-MS and Mass Photometry can help detect glue-dependent E3–substrate recruitment, complex stoichiometry, and concentration-dependent complex formation without relying solely on binary affinity measurements.
Orthogonal mass-based readouts can compare substrate recruitment, monitor E3 complex assembly or oligomeric state, and support specificity assessment across related substrates or analog compounds.
HDX-MS and XL-MS can map stabilized surfaces and conformational changes induced by molecular glues, helping connect recruitment behavior with productive degradation mechanisms.
Recommended starting point: share the E3 ligase complex, candidate substrate, molecular glue series, available proteins, and any cellular degradation data. We can recommend whether to begin with complex detection, assembly-state analysis, or interface mapping.
The first question: does my degrader actually form the intended ternary complex, or only binary complexes?
A single spectrum simultaneously resolves free proteins, binary complexes (target–PROTAC, PROTAC–E3), and the ternary complex. No labels, no immobilization, no prior knowledge of binding affinities required. Directly visualizes the hook effect across a concentration gradient.
Published Benchmark — Beveridge et al., ACS Chem. Biol. 2020
| MZ1 · Brd4BD2 | 0.92 ternary fraction | α = 22 |
| AT1 · Brd4BD2 | 0.82 ternary fraction | α = 4.7 |
Orthogonal validation of ternary complex stoichiometry in standard biochemical buffers. Detects E3 ligase self-oligomerization — increasingly recognized as relevant to molecular glue mechanism — that can be missed by techniques focused only on target–E3 interactions.
Molecular Glue Use Case
Mass Photometry can support molecular glue studies by monitoring induced E3 complex assembly, substrate recruitment, and oligomeric state under near-native conditions.
Ternary complex confirmed. Now: how cooperative and stable is it? t1/2 is the single biophysical parameter most strongly predictive of degradation efficiency.
SPR is the gold standard for quantitative ternary complex kinetics: cooperativity (α = KD,binary / KD,ternary) and ternary complex half-life (t1/2). Compounds with t1/2 > 100 seconds consistently outperform those with t1/2
Published Benchmark — Roy et al., ACS Chem. Biol. 2019
| MZ1 | AT1 | |
| α (cooperativity) | 19–22 | ~4.7 |
| t1/2 | 107–130 s | 25–26 s |
| Cellular DC50 | ~5 nM | Weaker |
SPR imaging scales cooperativity measurement from one compound at a time to hundreds in parallel. Spot linker variants on a single chip and measure ternary complex kinetics under identical conditions — compressing weeks of sequential SPR runs into a single experiment.
SPRi Service Details →For lead compounds: does the PROTAC induce a productive target–E3 conformation? Two PROTACs can both form ternary complexes, yet only one positions the ubiquitination machinery correctly for efficient ubiquitin transfer.
Maps which regions of the target and E3 ligase become protected upon ternary complex formation. Detects conformational changes at the E3 catalytic site — revealing whether the PROTAC induces a productive or non-productive ubiquitination-competent state.
HDX-MS Details →Provides residue-level distance restraints identifying which specific amino acids are in contact at the ternary complex interface — directly usable as restraints for integrative structural modeling or cryo-EM density fitting.
XL-MS Details →Complete thermodynamic signature (ΔH, ΔS, ΔG) of ternary complex formation. Reveals whether binding is enthalpy-driven or entropy-driven — guiding rational chemical optimization at the candidate selection stage.
ITC Details →Both MZ1 and AT1 bind Brd4BD2 with comparable binary affinity, yet MZ1 degrades Brd4 ~10× more potently in cells. Integrated characterization reveals why.
| Target | Brd4BD2 |
| E3 Ligase | VHL |
| Native MS Ternary Fraction | 0.92 ± 0.03 |
| SPR Cooperativity (α) | 19–22 |
| Ternary Complex t1/2 | 107–130 s |
| Cellular DC50 | ~5 nM |
| Target | Brd4BD2 |
| E3 Ligase | VHL |
| Native MS Ternary Fraction | 0.82 ± 0.06 |
| SPR Cooperativity (α) | ~4.7 |
| Ternary Complex t1/2 | 25–26 s |
| Cellular DC50 | Weaker degradation |
Data from Beveridge et al. (2020) ACS Chem. Biol. and Roy et al. (2019) ACS Chem. Biol.
| I want to know... | Best starting assay | What I get | Typical stage |
|---|---|---|---|
| Does the degrader form a ternary complex? | Native ESI-MS | Ternary fraction, binary species, hook-effect curve, specificity | Hit screening |
| Is stoichiometry correct in near-native buffer? | Mass Photometry | Mass distribution, complex stoichiometry, oligomerization check | Validation |
| How cooperative and stable is the ternary complex? | SPR | α, ka, kd, t1/2, comparative kinetic ranking | Hit-to-lead |
| Which linker chemistry improves cooperativity? | SPR Imaging | Parallel ranking across degrader or linker libraries | Linker SAR |
| Which interface or conformation is being stabilized? | HDX-MS + XL-MS | Interface map, conformational changes, distance restraints | Lead optimization |
| What is the thermodynamic signature? | ITC | ΔH, ΔS, ΔG, binding mechanism comparison | Candidate selection |
No single method answers every question. Each technique has a specific role in the characterization cascade.
| Technique | Ternary Detection | Cooperativity (α) | Kinetics (t1/2) | Interface Mapping | Throughput |
|---|---|---|---|---|---|
| Native ESI-MS | Direct | Semi-quant. | — | Topology | High |
| SPR | Yes | Gold standard | ka, kd, t1/2 | — | Medium |
| SPR Imaging | Yes | Parallel | HT | — | Very High |
| Mass Photometry | Yes | Qualitative | KD est. | — | Medium |
| HDX-MS | Indirect | Qualitative | — | Interface | Low-Med |
| XL-MS | Indirect | — | — | Contacts | Low |
| ITC | Yes | ΔH,ΔS,ΔG | — | — | Low |
Cellular follow-up available: CETSA for target engagement in live cells · Quantitative Western blot or Simple Western (Jess) for DC50 / Dmax · Ask about cellular readouts
Exact requirements vary by assay, but most projects can start with:
Which technique should I use first for a new PROTAC series?
Native ESI-MS is the best starting point. In one rapid measurement, it tells you whether the ternary complex forms at all, whether binary complexes dominate, and the relative abundance of each species. It also directly visualizes the hook effect. Native ESI-MS Service →
What samples do I need to submit for PROTAC or molecular glue characterization?
For initial evaluation, please provide the target protein and E3 ligase information, compound stock concentration and solvent, available protein concentration and buffer conditions, compound series size, and any existing binary affinity or cellular degradation data. Exact sample amounts depend on the selected assay format.
What is cooperativity and why does it matter more than binary KD for PROTACs?
Cooperativity (α) = KD,binary / KD,ternary quantifies how much a PROTAC stabilizes the target–E3 ligase interface. α > 1 = positive cooperativity. α D can differ 100-fold in cooperativity and 10-fold in cellular degradation potency. SPR is the primary method for quantitative cooperativity measurement.
What is the hook effect and how do I characterize it?
The hook effect occurs when excess PROTAC inhibits ternary complex formation — at high concentrations, binary complexes compete with the ternary complex, reducing degradation. Native ESI-MS directly visualizes this across a concentration gradient. Characterizing the hook effect defines the therapeutic window and is essential for dose selection.
Can I measure PROTAC ternary complexes by SPR if I only have one protein purified?
Yes. The standard SPR assay immobilizes the E3 ligase on the chip and flows a pre-mixed solution of target protein + PROTAC as the analyte. Alternative formats are available. Our team works with you during assay development to identify the optimal configuration.
How do molecular glues differ from PROTACs in characterization?
Molecular glues are more challenging because they often bind the E3 ligase first and induce a new protein–protein interface to recruit the target, making binary target binding undetectable in isolation. Native ESI-MS is especially valuable because it detects the ternary complex without requiring measurable binary interactions. Mass Photometry is complementary for detecting E3 ligase self-association induced by the glue.
Beveridge, R. et al. (2020). Native mass spectrometry can effectively predict PROTAC efficacy. ACS Chem. Biol. 15(12):3186–3196.
DOI: 10.1021/acschembio.0c00713
Roy, M.J. et al. (2019). SPR-measured dissociation kinetics of PROTAC ternary complexes influence target degradation rate. ACS Chem. Biol. 14(3):361–370.
DOI: 10.1021/acschembio.9b00065
Gadd, M.S. et al. (2017). Structural basis of PROTAC cooperative recognition for selective protein degradation. Nat. Chem. Biol. 13(5):514–521.
DOI: 10.1038/nchembio.2329
Bondeson, D.P. et al. (2018). Lessons in PROTAC design from targeted protein degradation. Cell Chem. Biol. 25(1):78–87.
DOI: 10.1016/j.chembiol.2017.09.010
Zorba, A. et al. (2018). Delineating the role of cooperativity in the design of potent PROTACs for BTK. Proc. Natl. Acad. Sci. 115(31):E7285–E7292.
DOI: 10.1073/pnas.1803662115
Hughes, S.J. & Ciulli, A. (2017). Molecular recognition of ternary complexes: a new dimension in the structure-guided design of chemical degraders. Essays Biochem. 61(5):505–516.
DOI: 10.1042/EBC20170041
Every degrader program is different — different E3 ligases, targets, linker chemistry, and development stages. We will recommend the most efficient characterization strategy for where you are now.
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