Inquiry Basket
| Your inquiry basket is currently empty. |
Define the decision
Translate the biological objective into a resolvable question: architecture, binding mode, interface, dynamics, state or mechanism.
Structural Biology Services
From AI-predicted hypotheses to experimentally validated molecular structures.
Creative Biostructure integrates sequence analysis, construct design, protein production, X-ray crystallography, cryo-EM, NMR, EPR spectroscopy, biophysical assays and computational refinement in one iterative workflow.
Gene to structureFlexible entry points
Multi-methodEvidence cross-validation
Decision-readyData + interpretation
Predict. Test. Refine. Repeat.
01
Computational hypothesis
Structure prediction, construct mapping, docking and dynamics prioritize testable questions.
02
Experimental design
Sample state, method, controls and acquisition strategy are selected around the question.
03
Physical evidence
X-ray, cryo-EM, NMR, MicroED and EPR reveal structure, distance restraints and dynamics.
04
Model refinement
Experimental constraints update the model and direct the next construct or experiment.
Output: a traceable evidence chain—not a prediction in
isolation.
What Is Structural Biology?
Structural biology is the study of the three-dimensional structures, interactions and conformational
states of biological molecules—especially proteins, nucleic acids and their complexes—using
experimental measurements supported by computational analysis.
It connects molecular form with biological function. Structural evidence can reveal binding pockets, interfaces, catalytic arrangements, oligomeric states, flexibility and conformational change that are not fully resolved from sequence alone.
No single method answers every structural question. X-ray crystallography can provide atomic detail for crystallizable samples; cryo-EM is powerful for large or heterogeneous assemblies; NMR probes solution-state structure and dynamics; microscopy and biophysical assays add spatial, kinetic and thermodynamic evidence. Integrative structural biology combines these data types around one biological question.
Structure
Where are the atoms, domains or subunits?
Interaction
How do partners, ligands or antibodies bind?
Dynamics
Which states change with function or environment?
How Does Our Dry–Wet Closed Loop Work?
Computational models narrow the experimental search space. Wet-lab measurements test those hypotheses. The resulting evidence then guides the next design decision.
Assess sequence and constructs
Use domain boundaries, disorder, transmembrane regions, conservation and predicted structure to design testable constructs.
Produce and qualify samples
Express, purify and assess identity, purity, monodispersity, stability, activity and complex formation before acquisition.
Prioritize experiments
Predicted models, docking and simulations help rank constructs, ligands, conformations and conditions—not replace physical testing.
Acquire orthogonal evidence
Combine coordinate or density methods with binding, stability and EPR distance-distribution data where dynamics or heterogeneity matter.
Refine, validate and iterate
Fit experimental constraints, review validation metrics, reconcile disagreements and feed insights into the next design cycle.
Why the loop matters
AI predictions are probabilistic. Experimental structures are also method- and sample-dependent. Iteration makes assumptions visible and improves confidence through cross-validation.
Structural Biology Techniques Matched to the Question
Choose a standalone method or combine complementary technologies to resolve structure, interaction and dynamics across scales.
X-ray Crystallography
Atomic-level structures of crystallizable proteins, complexes and protein–ligand systems, from screening through model refinement.
Explore X-ray services
→
Cryo-Electron Microscopy
Single-particle and electron microscopy workflows for large complexes, membrane proteins and conformational heterogeneity.
Explore cryo-EM services
→
NMR Spectroscopy
Solution- and solid-state analysis of structure, binding, flexibility and molecular dynamics across relevant timescales.
Explore NMR services
→
MicroED
Diffraction-based structure determination for microcrystalline proteins, peptides and small molecules.
Explore MicroED services
→
EPR Spectroscopy
Site-specific distance distributions, conformational populations and protein dynamics using spin-label measurements.
Explore EPR services
→
Integrative Structural Biology
Joint interpretation of cryo-EM, X-ray, NMR, mass spectrometry, microscopy and modeling constraints.
Explore integrative services
→
Super-Resolution Microscopy
Spatial organization, localization and dynamic behavior in cells at resolution beyond conventional light microscopy.
Explore microscopy services
→
Data, Modeling & Simulation
Structure prediction, model reconstruction, docking, dynamics, data processing and evidence-based interpretation.
Explore computational analysis
→
Which Structural Method Fits Your Target?
The best method depends on the decision, not only molecular weight. Sample behavior, flexibility, environment, resolution needs and available material all influence strategy.
| Method | Strong fit | Information gained | Important constraint | Typical output |
|---|---|---|---|---|
| X-ray crystallography | Well-ordered soluble proteins and complexes | High-resolution atomic coordinates and ligand interactions | Requires crystals; conformational ensembles may be underrepresented | Diffraction data, refined coordinates, validation statistics |
| Cryo-EM / SPA | Large assemblies, membrane proteins, multiple states | 3D density, architecture and conformational classes | Grid behavior, preferred orientation and heterogeneity affect resolution | Micrographs, 2D classes, density maps, atomic model where supported |
| NMR spectroscopy | Smaller proteins, flexible regions, binding and dynamics | Solution-state structure, chemical environment and motion | Size, labeling, concentration and spectral overlap can limit analysis | Spectra, assignments, restraints, structures and dynamics metrics |
| MicroED | Microcrystalline peptides, proteins and small molecules | Diffraction-based 3D structure from very small crystals | Crystal thickness, radiation damage and data completeness matter | Diffraction data and refined structural model |
| EPR spectroscopy | Flexible proteins, membrane proteins, complexes and disordered systems with suitable spin-label sites | Nanometer-scale distance distributions, conformational populations and changes in dynamics | Requires strategic labeling and does not by itself produce a complete atomic structure | Raw traces, distance-distribution profiles, restraints and model comparison |
| Integrative approach | Flexible, heterogeneous or multi-component systems | Cross-scale model constrained by complementary evidence | Requires explicit uncertainty and compatibility assessment across datasets | Evidence-weighted ensemble or architecture with provenance |
Biophysical assays strengthen structural interpretation
Binding, stability, size and conformational assays—including EPR distance distributions—help test whether a structural model represents the relevant molecular state or ensemble.
SPR, BLI, ITC, MST and fluorescence-based assays can confirm affinity, kinetics, stoichiometry and thermodynamic behavior.
DSC, thermal shift, DLS, MALS, SEC and AUC can assess folding, aggregation, molecular weight and oligomeric state.
HDX-MS, EPR, CD, FTIR and complementary spectroscopy can map flexibility, secondary structure and environment-dependent changes.
Site-directed spin labeling and pulsed dipolar EPR can provide probability distributions of inter-spin distances. These restraints can test predicted conformations, refine low-resolution maps and compare ligand- or environment-dependent states.
What Biomolecules Can We Study?
Projects may begin with a sequence, construct, purified sample, complex or existing dataset.
Proteins
Soluble and membrane proteins, receptors, enzymes, antibodies, fragments, oligomers and disordered regions.
Biomolecular complexes
Protein–protein, protein–ligand, protein–peptide, antibody–antigen and macromolecular assemblies.
Dynamic states
Active/inactive states, folding intermediates, transient interactions, allosteric transitions and assembly pathways.
Experimental Infrastructure for Structure Determination
Automated preparation, high-resolution acquisition and expert data analysis support projects from screening through validated models.
Automated crystallization
High-throughput screening and nanoliter dispensing.
300 kV cryo-EM
High-resolution imaging of complexes and membrane proteins.
High-field NMR
Solution and solid-state structural measurements.
Data acquisition & refinement
Processing pipelines with transparent validation metrics.
What Can You Submit?
- ✓Gene or sequence: for construct and expression strategy development
- ✓Expression construct or cells: for production and downstream structural work
- ✓Purified protein, nucleic acid or complex: for feasibility and method-specific analysis
- ✓Raw or processed data: for model building, refinement or independent interpretation
Exact purity, concentration, quantity, buffer and activity requirements vary by target and method.
What Can the Data Package Include?
- Sample QC and feasibility findings
- Raw and processed experimental data
- Density maps, spectra or diffraction data
- Refined structures and coordinates
- Model and data validation metrics
- Interaction and conformational analysis
- Methods, parameters and figure files
- Technical report and expert interpretation
Featured Case Studies of Structural Analysis
Review experimental images, structural outputs and downloadable summaries from representative X-ray crystallography and Cryo-TEM projects.
X-ray Crystallography for Fab–Antigen Complex Structural Analysis
This project focuses on elucidating the three-dimensional structure of a Fab–antigen complex using X-ray crystallography. The workflow begins with Fab preparation, complex formation and initial crystal screening, followed by diffraction analysis, density-map interpretation and model refinement.
Case Study PDF
X-ray Crystallography for Fab–Antigen Complex Structural Analysis
Complete the short form to access the full background, methods, results and structural interpretation.
Cryo-TEM for CDXX Receptor Structural Analysis
This project analyzes the three-dimensional structure of a CDXX receptor and AB-X antibody complex using Cryo-TEM. Sample preparation is followed by data acquisition, image processing, single-particle classification, model building and refinement.
Case Study PDF
Cryo-TEM for CDXX Receptor Structural Analysis
Complete the short form to access the workflow, representative images and structural insights.
What Decisions Can Structural Biology Support?
Structural evidence supports target assessment, molecular engineering and mechanistic interpretation across discovery and development programs.
Drug Discovery
- Target and pocket characterization
- Protein–ligand binding modes
- Structure-based design hypotheses
- Lead optimization support
Protein Engineering
- Mutation effect interpretation
- Stability and interface design
- Antibody–antigen mapping
- Construct optimization
Mechanism Research
- Structure–function relationships
- Conformational state mapping
- Allostery and molecular recognition
- Assembly and transient interactions
Application Brochure
Download
Structure-Based Drug Discovery
Explore how structural determination, computational modeling and interaction analysis can support target assessment and drug-design decisions.
Service Brochure
Download Brochure
Structural Biology Services
Review our integrated capabilities for protein and macromolecular structure analysis, illustrated through a membrane-protein project example.
Research Publications Highlighting Our Structural Biology Expertise
The studies below identify specific structural biology contributions from Creative Biostructure. Article titles, journals, years and contribution summaries are presented together for direct review.
| Article | Journal | Year | Contribution |
|---|---|---|---|
| APOE Christchurch-mimetic therapeutic antibody reduces APOE-mediated toxicity and tau phosphorylation | Alzheimer's & Dementia | 2024 | Creative Biostructure determined the three-dimensional crystal structure of purified 7C11.IgG Fab as a fee-for-service contribution. |
| A novel mechanism of herbicide action through disruption of pyrimidine biosynthesis | Proceedings of the National Academy of Sciences | 2023 | Creative Biostructure provided X-ray crystallographic support for the structural investigation reported in the study. |
| Linoleic acid binds to SARS-CoV-2 RdRp and represses replication of seasonal human coronavirus OC43 | Scientific Reports | 2022 | The work used a Creative Biostructure-produced complex structure of SARS-CoV-2 RNA polymerase with double-stranded RNA fragments. |
| Synthesis and biological evaluation of selective survivin inhibitors derived from the MX-106 hydroxyquinoline scaffold | European Journal of Medicinal Chemistry | 2021 | The authors report collaboration with Creative Biostructure to optimize survivin crystallization conditions for inhibitor-complex structure determination. |
| All major cholesterol-dependent cytolysins use glycans as cellular receptors | Science Advances | 2020 | The authors acknowledge Creative Biostructure for protein chemical-shift assignment supporting the study. |
Structural Biology FAQs
Clear answers to common questions about prediction, method choice, samples and deliverables.
View all FAQs →No. AI models are valuable hypotheses, but experiments are needed to verify the physical sample state, ligand pose, local geometry, dynamics, oligomeric state and method-specific uncertainty.
Method selection depends on molecular size, sample homogeneity, flexibility, available quantity, crystallization behavior, environment and the structural or dynamic information required. Some questions benefit from an integrative strategy.
A project may combine detergent or lipid screening, stability and monodispersity assessment, nanodisc or liposome reconstitution, and cryo-EM, X-ray or NMR analysis selected for the target state.
EPR uses site-specific paramagnetic labels to provide nanoscale distance distributions and conformational-population information. These restraints can test predicted models, complement low-resolution density and reveal flexible or multiple states that a single static structure may not capture.
Projects can begin from a gene sequence, construct, expression system, purified protein, nucleic acid, complex or an existing structural dataset. Exact specifications are assessed for the target and method.
Depending on scope, deliverables may include quality-control results, raw and processed data, density maps or spectra, refined coordinates, validation metrics, interaction analysis, figures and a technical report.
Yes. Existing predictions can be treated as testable starting models and evaluated against structural, binding, stability or dynamics data. The validation plan should define which claims the experiments can and cannot support.
Learn More About Structural Methods
Cryo-EM
Resource
Cryo-EM Applications in Structural Biology
X-ray
Guide
A Beginner's Guide to Protein Crystallography
Technology
Guide
Overview of Cryo-Electron Microscopy Technology
NMR
Resource
Using NMR for Drug Receptor Analysis
Computational
Modeling
AlphaFold3: Accurate Structure Prediction of Molecular Interactions
Method
Comparison
