Illustration of Wet-Lab Co-Pilot

Design:
Construct Optimization Engine

Design constructs, compare them against wild type, and prioritize what to build first — before spending time on cloning, expression, and purification. Generate constructs through AI, manual assembly, or combinatorial exploration, then score them across solubility, disorder, aggregation, ΔTm, and ΔΔG in one workspace.

Orbion Platform's Expression Protocol for Hemoglobin A2B2 Complex

Construct engineering breaks down before the bench even starts.

Choosing tags, linkers, fusion partners, cleavage sites, truncations, and signal peptides creates a huge design space. In most teams, that space is still narrowed manually, with fragmented tools and too little feedback before cloning and expression work begin. Orbion’s Design module is built around construct generation, comparison, scoring, sequence assembly, and Bench handoff in one workflow.

Illustration Representing Trial-and-Error Workflows

Too Many Combinations

A single target can branch into hundreds or thousands of plausible construct variants. Most teams still reduce this space with habit, intuition, or whatever worked last time.

Illustration Representing Fragmented Know-how

Little Pre-Bench Feedback

Bad construct choices are often discovered only after cloning, expression, or purification effort has already been spent.

Illustration Representing Hidden Pitfalls

Optimization Tool Fragmentation

Construct selection, sequence assembly, codon optimization, and experimental planning often live across different tools and spreadsheets.

A Faster Path from Construct Ideas to Testable Candidates

Design helps teams move from open-ended construct ideas to ranked, experiment-ready candidates. Users can generate constructs in multiple ways, compare them against the wild-type reference, inspect assembled protein and codon-optimized DNA sequences, and push the strongest options into Bench for protocol generation.

Illustration Representing Ready-to-Run

Flexible Construct Creation

Create constructs through AI generation, manual assembly, combinatorial generation, or CSV import. The workflow supports goals, expression systems, assembly state, structure type, novelty level, tags, fusions, linkers, cleavage options, signal peptides, and truncation boundaries.

Illustration Representing Work on Tough Targets

Multi-Metric Prioritization

Each construct is scored with a composite metric and individual views for solubility, disorder, aggregation, ΔTm, ΔΔG, and PTM retention. Comparison mode lets teams view absolute values or deltas versus wild type, making tradeoffs easier to interpret.

Illustration Representing Work on Tough Targets

Ready for Wet-Lab Execution

Every construct includes a full assembled sequence, codon-optimized DNA output, vector compatibility checks, shortlist actions, and one-click Bench handoff. That makes it easier to move from promising construct concepts to practical experimental next steps.

Orbion Platform's Bench Screen Showing an Expression Protocol for Hemoglobin A2B2 Complex

FAQ

What is Orbion?

Orbion is an AI-powered platform that helps protein researchers accelerate their work by providing comprehensive protein characterization, mutation design suggestions, and automated experimental protocol generation—all from a single protein sequence.

How accurate is Orbion's protein characterization?

Orbion achieves 90%+ accuracy for PTM predictions on well-characterized proteins when compared to experimental data. Structure predictions use AlphaFold (Monomer and Multimer) with confidence scoring via pLDDT and PAE metrics. All predictions include confidence scores so you know which regions to trust.

How are Orbion's predictions validated?

Our PTM predictions achieve 90%+ accuracy on well-characterized proteins when compared to experimental data. Protocols are grounded in published literature and cite specific papers. We're actively building wet-lab validation partnerships to further improve accuracy.

Which proteins can Orbion work with?

Orbion works with any protein sequence—cytoplasmic, membrane, GPCRs, transporters, enzymes, antibodies, and multi-chain complexes. Submit single chains or entire complexes with multiple subunits. If you have a sequence or UniProt ID, Orbion can analyze it.

Can Orbion analyze protein complexes?

Yes! Orbion supports multi-chain protein analysis using AlphaFold Multimer. Submit multiple chains to get interface predictions, chain interaction analysis, PTMs at interfaces, and complex-specific protocols. We identify which residues are at interfaces, predict interaction confidence, and generate protocols for complex assembly and characterization.

Is there a free trial?

Yes! You can have a one week free trial free to see Orbion's predictions and protocol generation in action.

How is this different from just using AlphaFold?

AlphaFold predicts structure (monomers and multimers). Orbion goes further by predicting PTMs, binding sites, interface residues for complexes, suggesting mutations, and generating complete experimental protocols—all integrated into one platform. We also provide expression system-specific predictions, conservation analysis, and complex-specific protocols not available elsewhere. For multi-chain complexes, we analyze interfaces, identify interaction hotspots, and generate assembly protocols.

What types of proteins work best with Orbion?

All protein types work with Orbion: cytoplasmic proteins, membrane proteins, GPCRs, transporters, enzymes, kinases, antibodies, and multi-chain complexes. Both well-characterized proteins and novel targets benefit from AI predictions. Membrane proteins and GPCRs especially benefit from expression system recommendations.

FAQ

What is Orbion?

Orbion is an AI-powered platform that helps protein researchers accelerate their work by providing comprehensive protein characterization, mutation design suggestions, and automated experimental protocol generation—all from a single protein sequence.

How accurate is Orbion's protein characterization?

Orbion achieves 90%+ accuracy for PTM predictions on well-characterized proteins when compared to experimental data. Structure predictions use AlphaFold (Monomer and Multimer) with confidence scoring via pLDDT and PAE metrics. All predictions include confidence scores so you know which regions to trust.

How are Orbion's predictions validated?

Our PTM predictions achieve 90%+ accuracy on well-characterized proteins when compared to experimental data. Protocols are grounded in published literature and cite specific papers. We're actively building wet-lab validation partnerships to further improve accuracy.

Which proteins can Orbion work with?

Orbion works with any protein sequence—cytoplasmic, membrane, GPCRs, transporters, enzymes, antibodies, and multi-chain complexes. Submit single chains or entire complexes with multiple subunits. If you have a sequence or UniProt ID, Orbion can analyze it.

Can Orbion analyze protein complexes?

Yes! Orbion supports multi-chain protein analysis using AlphaFold Multimer. Submit multiple chains to get interface predictions, chain interaction analysis, PTMs at interfaces, and complex-specific protocols. We identify which residues are at interfaces, predict interaction confidence, and generate protocols for complex assembly and characterization.

Is there a free trial?

Yes! You can have a one week free trial free to see Orbion's predictions and protocol generation in action.

How is this different from just using AlphaFold?

AlphaFold predicts structure (monomers and multimers). Orbion goes further by predicting PTMs, binding sites, interface residues for complexes, suggesting mutations, and generating complete experimental protocols—all integrated into one platform. We also provide expression system-specific predictions, conservation analysis, and complex-specific protocols not available elsewhere. For multi-chain complexes, we analyze interfaces, identify interaction hotspots, and generate assembly protocols.

What types of proteins work best with Orbion?

All protein types work with Orbion: cytoplasmic proteins, membrane proteins, GPCRs, transporters, enzymes, kinases, antibodies, and multi-chain complexes. Both well-characterized proteins and novel targets benefit from AI predictions. Membrane proteins and GPCRs especially benefit from expression system recommendations.

FAQ

What is Orbion?

Orbion is an AI-powered platform that helps protein researchers accelerate their work by providing comprehensive protein characterization, mutation design suggestions, and automated experimental protocol generation—all from a single protein sequence.

How accurate is Orbion's protein characterization?

Orbion achieves 90%+ accuracy for PTM predictions on well-characterized proteins when compared to experimental data. Structure predictions use AlphaFold (Monomer and Multimer) with confidence scoring via pLDDT and PAE metrics. All predictions include confidence scores so you know which regions to trust.

How are Orbion's predictions validated?

Our PTM predictions achieve 90%+ accuracy on well-characterized proteins when compared to experimental data. Protocols are grounded in published literature and cite specific papers. We're actively building wet-lab validation partnerships to further improve accuracy.

Which proteins can Orbion work with?

Orbion works with any protein sequence—cytoplasmic, membrane, GPCRs, transporters, enzymes, antibodies, and multi-chain complexes. Submit single chains or entire complexes with multiple subunits. If you have a sequence or UniProt ID, Orbion can analyze it.

Can Orbion analyze protein complexes?

Yes! Orbion supports multi-chain protein analysis using AlphaFold Multimer. Submit multiple chains to get interface predictions, chain interaction analysis, PTMs at interfaces, and complex-specific protocols. We identify which residues are at interfaces, predict interaction confidence, and generate protocols for complex assembly and characterization.

Is there a free trial?

Yes! You can have a one week free trial free to see Orbion's predictions and protocol generation in action.

How is this different from just using AlphaFold?

AlphaFold predicts structure (monomers and multimers). Orbion goes further by predicting PTMs, binding sites, interface residues for complexes, suggesting mutations, and generating complete experimental protocols—all integrated into one platform. We also provide expression system-specific predictions, conservation analysis, and complex-specific protocols not available elsewhere. For multi-chain complexes, we analyze interfaces, identify interaction hotspots, and generate assembly protocols.

What types of proteins work best with Orbion?

All protein types work with Orbion: cytoplasmic proteins, membrane proteins, GPCRs, transporters, enzymes, kinases, antibodies, and multi-chain complexes. Both well-characterized proteins and novel targets benefit from AI predictions. Membrane proteins and GPCRs especially benefit from expression system recommendations.