Enzyme Engineering Services
Structure-Guided Rational Design
Design targeted enzyme variants and inhibitor scaffolds from 3D structural data, then validate them experimentally with kinetic and binding assays.
Structure or Model
Every project starts from a resolved structure or a homology model built for your target when no experimental structure is available.
- Experimental structure retrieval from public databases
- Homology modeling for uncharacterized homologs
- Model quality assessment before design begins
Site and Pocket Mapping
Active-site and binding-pocket residues are mapped to identify positions that plausibly govern the property you want to change.
- Active-site and substrate-pocket analysis
- Docking of substrates, ligands, or inhibitor scaffolds
- Molecular dynamics for flexibility and contact stability
Designed Candidates
The deliverable is a defined set of designed proteins or inhibitor scaffolds with a documented structural rationale for each.
- Rational point mutations or inhibitor scaffolds
- Ranked candidate list with predicted impact
- Experimental validation of designed variants
Where It Fits
Structure-guided design is most useful when structural information exists or can be modeled and when the goal is to tune a known scaffold rather than discover an entirely new one. It complements empirical approaches by reducing the number of variants that must be built and screened.
Typical programs include improving catalytic activity or substrate specificity, raising thermostability, shifting cofactor preference, and optimizing inhibitor potency or selectivity against a validated target.
| Objective | Structural Starting Point | Typical Design Action | Readout |
|---|---|---|---|
| Improve catalytic activity | Resolved structure or homology model | Mutate active-site or second-shell residues | Kinetic parameters |
| Alter substrate specificity | Substrate-bound or docked complex | Reshape binding-pocket contacts | Substrate panel activity |
| Increase thermostability | Structure plus MD flexibility analysis | Reinforce packing or introduce stabilizing contacts | Thermal stability and residual activity |
| Shift cofactor preference | Cofactor-bound structure or model | Adjust cofactor-binding pocket residues | Cofactor-dependent activity |
| Improve inhibitor potency | Target structure with bound ligand | Optimize scaffold interactions in the pocket | Binding affinity |
| Improve inhibitor selectivity | Comparative structures of related targets | Exploit divergent pocket residues | Selectivity profiling |
How Engagement Works
Projects follow an iterative design-test-learn cycle. Each round produces designed candidates, experimental data on those candidates, and a structural interpretation that informs the next round.
Structure Acquisition
We retrieve an experimental structure for your target or build a homology model, then assess model quality to confirm it is suitable for design work.
Site and Pocket Analysis
Active-site and binding-pocket residues are mapped, and docking or molecular dynamics simulations are used to identify positions that plausibly control the target property.
Rational Candidate Design
We select a focused set of point mutations or inhibitor scaffolds with a documented structural rationale, prioritizing changes with the strongest predicted impact.
Variant Production and Assay
Designed proteins are expressed and purified, or designed compounds are prepared, then tested in enzymatic activity, binding affinity, or stability assays.
What You Can Customize
Scope is defined per project after consultation, so the design depth, candidate count, and validation package match your program stage rather than a fixed bundle.
Starting Structural Input
Projects can begin from a public experimental structure, a client-supplied model, or a homology model we build for an uncharacterized homolog.
- Experimental structure retrieval
- Client-supplied structural models
- Homology modeling for related sequences
Simulation Depth
The computational package can range from docking and hotspot mapping to longer molecular dynamics runs for flexibility and contact stability.
- Docking of substrates or ligands
- Molecular dynamics simulations
- Hotspot and contact-network mapping
Candidate Strategy
We can focus on single-residue changes, combinatorial sets of predicted positions, or inhibitor scaffold optimization depending on the objective.
- Single point mutations
- Combined mutation sets
- Inhibitor scaffold optimization
Service Scope
The table below describes what can be customized case by case. Final scope, candidate counts, and validation depth are agreed in the project statement of work.
| Parameter | Typical Project Scope | Options | Notes |
|---|---|---|---|
| Structural input | Experimental structure or homology model | Retrieval, client-supplied, or modeled | Model quality assessed before design |
| Site analysis | Active-site and binding-pocket mapping | Single site or comparative multi-target | Scoped to the engineering objective |
| Computational methods | Docking and molecular dynamics | Docking only or extended MD | Selected per project complexity |
| Designed candidates | Focused set of predicted variants | Quantity scoped per project | Ranked by predicted impact |
| Production | Recombinant expression and purification | Protein variants or synthesized compounds | As scoped for the target class |
| Validation assays | Activity, binding, or stability testing | Single assay or combined panel | Matched to the engineered property |
| Iteration rounds | Design-test-learn cycles | Number of rounds scoped per project | Continues until target property is met |
| Reporting | Structural rationale and experimental data | Standard or extended data package | Delivered at project milestones |
Why Structure-Guided
Rational design grounds engineering decisions in interpretable structural principles, which makes each candidate easier to justify and each result easier to interpret than a purely empirical campaign.
Smaller Candidate Sets
Because positions are chosen from structural evidence, the number of variants that must be built and tested is kept deliberately small.
- Hypothesis-driven residue selection
- Ranked candidates by predicted impact
- Fewer wasted build-and-test cycles
Interpretable Results
Each experimental outcome can be traced back to a structural prediction, which supports mechanistic understanding rather than a black-box hit.
- Documented structural rationale
- Prediction compared against assay data
- Findings feed the next design round
Complements Empirical Work
Structure-guided design pairs well with existing screening or evolution campaigns by focusing effort where structural evidence points.
- Useful when a scaffold already exists
- Reduces reliance on large libraries
- Iterative refinement across rounds
| Item | Detail | Basis | Notes |
|---|---|---|---|
| Target class | Enzymes, proteins, or inhibitor targets | Client-supplied sequence or structure | Confirmed during scoping |
| Structural input | Experimental structure or homology model | Public database or modeling | Quality assessed first |
| Design output | Designed protein variants or inhibitor scaffolds | Scoped per project | Ranked with rationale |
| Validation data | Kinetic, binding, or stability results | Assay panel as scoped | Reported per milestone |
| Iteration | Design-test-learn rounds | Number scoped per project | Continues to target property |
| Technical support | Named scientific contact at project start; milestone review calls; email response within 1 business day. | Standard across projects | Single contact line |
Applications
Structure-guided rational design has been applied across enzyme and inhibitor programs, from lipases and esterases to therapeutic target inhibitors. The examples below reflect published work in this area and illustrate the kinds of objectives the approach supports.
Activity and Specificity
Published work has used structure-guided design to alter substrate specificity and catalytic activity, including single-residue changes that measurably shift hydrolysis behavior.
- Substrate specificity engineering
- Catalytic activity improvement
- Single-residue mutant effects
Thermostability
Structural analysis has been used to improve enzyme thermostability by reinforcing packing and stabilizing contacts identified from the model.
- Thermostability improvement
- Packing and contact reinforcement
- Residual activity testing
Potency and Selectivity
Structure-guided design has supported discovery of selective inhibitors against validated targets, with potency assessed through binding affinity measurements.
- Selective inhibitor discovery
- Scaffold optimization
- Binding affinity assessment
Getting Started
Share your target sequence or structure, the property you want to change, and any existing assay data. We will confirm whether a structure or model is available and outline a design plan.
Scope, candidate counts, and validation depth are agreed in the statement of work before the project begins.
FAQ
What if no experimental structure exists for my target?
We can build a homology model from related sequences and assess its quality before design begins. Model-based design is commonly used when no experimental structure is available, and the confidence of predictions is reported alongside the candidate list.
How is this different from directed evolution?
Directed evolution relies on random mutagenesis and high-throughput screening without requiring structural knowledge. Structure-guided rational design uses 3D structural data to make targeted, hypothesis-driven changes, so a smaller set of predicted candidates is built and tested instead of a large random library.
What do I receive at the end of a project?
Deliverables typically include a documented structural rationale, a ranked set of designed protein variants or inhibitor scaffolds, and experimental validation data such as activity, binding affinity, kinetic, or stability results, depending on the property being engineered.
Can you work with inhibitor targets as well as enzymes?
Yes. The same structural workflow supports inhibitor scaffold optimization against validated targets, where binding-pocket analysis and docking guide design and binding affinity assays provide the readout. The specific assay panel is scoped per project.
How many design rounds will my project need?
The number of design-test-learn rounds depends on the target property and how closely the initial predictions match experimental results. Round count is scoped per project, and the cycle continues until the desired property is achieved or the agreed scope is met.
References
- Choi JM, Kim HS. Structure-guided rational design of the substrate specificity and catalytic activity of an enzyme. Methods in enzymology. 2020;643:181-202. View on PubMed
- Lan D, Zhao G, Holzmann N, et al. Structure-Guided Rational Design of a Mono- and Diacylglycerol Lipase from Aspergillus oryzae: A Single Residue Mutant Increases the Hydrolysis Ability. Journal of agricultural and food chemistry. 2021;69(18):5344-5352. View on PubMed
- Yang W, Sun L, Dong P, et al. Structure-guided rational design of the Geobacillus thermoglucosidasius feruloyl esterase GthFAE to improve its thermostability. Biochemical and biophysical research communications. 2022;600:117-122. View on PubMed
- Mobeen B, Shah M, Rehman HM, et al. Discovery of the selective and nanomolar inhibitor of DPP-4 more potent than sitagliptin by structure-guided rational design. European journal of medicinal chemistry. 2024;279:116834. View on PubMed
- Gao Q, Ma B, Wang Q, et al. Improved 2α-Hydroxylation Efficiency of Steroids by CYP154C2 Using Structure-Guided Rational Design. Applied and environmental microbiology. 2023;89(3):e0218622. View on PubMed
Start a Structure-Guided Design Project
Send us your target sequence or structure and the property you want to engineer. We will confirm structural feasibility and outline a design plan for your review.