AI-Enhanced Design Platform

Synthetic Biology Design Services

Accelerate your synthetic biology projects with our computational design platform. From genetic circuit design to pathway optimization, our AI-enhanced tools help you move from concept to construct faster with improved success rates.

AI-Enhanced Design

SBOL Compliant

Circuit Simulation

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Trusted by leading research and pharmaceutical institutions

Research Universities

Pharma Companies

BioTech Startups

Industrial Biotech

Design Capabilities

Pathway retrosynthesis and design

CRISPR guide RNA design

Promoter and RBS optimization

Genetic circuit simulation

Computational Tools

Web-based CAD and ML models

Circuit Design

CRISPR-dCas and logic gates

Sequence Design

Codon and promoter optimization

Service Overview

Computational Design for Synthetic Biology

Our design services combine cutting-edge computational tools with AI-enhanced optimization to accelerate your synthetic biology projects from concept to construct with improved success rates.

Genetic Circuit Design

Design complex genetic circuits using CRISPR-dCas systems, transcription factor-based regulators, and RNA-based devices. Our tools support modular design with standardized parts following SBOL standards.

CRISPRi/a circuit design
Logic gate construction
Feedback circuit design
Circuit simulation tools

Metabolic Pathway Design

Optimize metabolic pathways for production of target compounds. Our computational tools predict flux distribution and identify metabolic bottlenecks for targeted engineering.

Pathway retrosynthesis
Cofactor balancing
Flux analysis predictions
Heterologous expression planning

Promoter & RBS Design

Design synthetic promoters and ribosome binding sites with precise expression levels. Machine learning models predict expression outputs from sequence features.

Constitutive promoter design
Inducible promoter engineering
RBS strength optimization
Expression level tuning

CRISPR Guide RNA Design

Design optimal guide RNAs for CRISPR editing applications. Our algorithms predict on-target efficiency and minimize off-target effects for reliable genome engineering.

sgRNA efficiency prediction
Off-target analysis
Multiplexed editing design
Base editing guide design

Technology

Advanced Design Tools & AI Models

Our computational platform combines state-of-the-art algorithms with curated biological databases to deliver accurate predictions and optimized designs.

Machine Learning Models

Neural network models trained on large biological datasets for sequence-function prediction and design optimization.

Deep Learning Transfer Learning Gaussian Process

SBOL & SBML Standards

Full support for biological data standards enabling seamless integration with CAD tools and exchange with collaborators.

SBOL 3.0 SBML GenBank Export

Circuit Simulation

Dynamic modeling of genetic circuits to predict behavior before construction. Supports stochastic and deterministic simulations.

ODE Models Stochastic Simulation Parameter Fitting

Biological Databases

Curated databases of genetic parts, pathway templates, and experimental data to inform design decisions.

Parts Registry Pathway Database Literature Mining

Design Tool Comparison

Capability	Standard Tools	Our Platform
ML-Assisted Design	Limited	Full Integration
Circuit Simulation	Basic	Advanced
SBOL Support	Varies	SBOL 3.0
Multi-Part Assembly	Manual	Automated

Our AI-enhanced platform significantly improves design success rates compared to traditional approaches.

Specifications

Design Service Parameters

Comprehensive design capabilities covering genetic circuits, metabolic pathways, and genome engineering.

Genetic Circuits

CRISPR-dCas circuit design (CRISPRi/a, CRISPRoff)
Transcription factor-based circuits
RNA-based devices (riboswitches, toehold switches)
Logic gates (AND, OR, NOT, NAND, NOR)
Feedback and oscillator circuits

Metabolic Pathways

Retrobiosynthesis and pathway design
Heterologous pathway optimization
Cofactor and energy balancing
Flux balance analysis
Host selection guidance

Promoter & RBS

Synthetic promoter library design
Inducible promoter systems
RBS strength prediction and design
Expression level optimization
Codon optimization algorithms

CRISPR Design

sgRNA efficiency prediction
Off-target analysis and ranking
PAM site analysis
Multiplexed editing design
Base editing and prime editing

Assembly Design

Golden Gate/MoClo assembly design
Gibson Assembly planning
Overlap design optimization
Restriction site avoidance
Sequence verification planning

Simulation & Analysis

Dynamic circuit simulation
Parameter sensitivity analysis
Noise and stochastic modeling
Steady-state analysis
Design visualization tools

Custom Design Services

Our team can develop custom computational tools and design workflows for specialized applications. Contact us to discuss your unique requirements.

Workflow

Our Design Process

A systematic approach to biological design that minimizes risk and maximizes success.

Consultation

Initial discussion to understand your project goals, biological system, and design requirements. We review constraints and define success metrics.

Goal alignment
Constraint identification
Strategy planning

Computational Design

Computational design using our AI-enhanced tools. Generate multiple design candidates and rank them using predictive models.

Design generation
ML-based ranking
Candidate selection

Simulation & Analysis

Detailed simulation and analysis of selected designs. Identify potential issues and optimize design parameters before construction.

Circuit simulation
Behavior prediction
Design refinement

Design Delivery

Complete design package with sequence files, assembly instructions, and documentation. Ready for Build services or your in-house team.

Sequence files
Assembly protocols
Documentation

Applications

Design Service Use Cases

Our computational design services support diverse synthetic biology applications.

Metabolic Engineering

Design heterologous pathways for production of fuels, chemicals, and pharmaceuticals. Optimize flux through metabolic networks.

Biofuels Biopharmaceuticals Fine Chemicals

Biosensors

Design genetic biosensors for detection of metabolites, pollutants, or disease markers. Engineer responsive circuits with desired dynamic range.

Diagnostics Environmental Industrial

Therapeutics

Design gene circuits for cell therapy applications including CAR-T systems, gene expression controllers, and genetic safety switches.

Gene Therapy Cell Therapy Synthetic Biology

Agriculture

Design genetic circuits for crop improvement including stress response systems, metabolic pathway engineering, and synthetic gene drives.

Crop Engineering Stress Tolerance Nutrition

Industrial Enzymes

Design enzyme expression systems and metabolic pathways for industrial biocatalysis. Optimize for process conditions and product yields.

Biocatalysis Enzyme Engineering Process Development

Computational Research

Design circuits for fundamental synthetic biology research including circuit dynamics, noise propagation, and evolutionary stability studies.

Circuit Dynamics Noise Analysis Evolution

Testimonials

What Our Clients Say

Trusted by researchers and companies working on cutting-edge synthetic biology projects.

"Their genetic circuit design tools saved us months of iterative design work. The circuit simulation accurately predicted behavior before we built anything."

Research Lead

Synthetic Biology Lab

"The ML-assisted promoter design dramatically improved our expression levels. We achieved target protein production in weeks instead of months."

Principal Investigator

Biopharmaceutical Company

"The CRISPR guide RNA design service identified highly efficient guides with minimal off-targets. The design accuracy exceeded other tools we had tried."

Senior Scientist

Gene Therapy Startup

FAQ

Frequently Asked Questions

Find answers to common questions about our design services.

What design formats do you support?

We support all major biological data standards including SBOL 3.0, SBML, GenBank, FASTA, and standard spreadsheet formats. All designs are delivered with comprehensive documentation and assembly instructions.

How accurate are the circuit simulations?

Our circuit simulations use validated models calibrated with experimental data. Prediction accuracy varies by circuit type, but we typically achieve good qualitative agreement and reasonable quantitative predictions for well-characterized parts. We always recommend experimental validation of critical designs.

Can you integrate with our existing workflow?

Yes, our design platform supports integration with standard lab information systems and electronic lab notebooks. We can work with your existing part libraries, strain collections, and design conventions. API access is available for custom integrations.

What biological hosts do you support?

We support design for all major microbial hosts including E. coli, Bacillus subtilis, Saccharomyces cerevisiae, Pichia pastoris, and CHO cells. Our models incorporate host-specific parameters for improved predictions. Contact us for other host organisms.

Do you offer custom ML model development?

Yes, we can develop custom machine learning models tailored to your specific biological system and design requirements. This includes transfer learning from our existing models, new model training with your data, and model deployment for ongoing use.

How do you protect IP and confidential designs?

We take confidentiality seriously. All project information is protected under NDA. Your designs and data are never shared with other clients or used for any purpose other than your project. We maintain strict data security protocols and can work within your existing IP protection frameworks.

What is the typical turnaround time?

Turnaround varies by project complexity. Standard designs like promoter libraries or sgRNA design typically complete within 1-2 weeks. Complex circuit design or metabolic pathway design may take 3-4 weeks. Rush services are available for time-sensitive projects.

Can you design multi-gene pathways?

Yes, we specialize in multi-gene pathway design. Our tools handle retrosynthesis for complex metabolites, heterologous pathway assembly planning, and optimization for balanced expression across multiple genes. We consider thermodynamic constraints, codon usage, and promoter compatibility.

Ready to Start Your Project?

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Synthetic Biology Design Services

Design Capabilities

Computational Tools

Circuit Design

Sequence Design

Computational Design for Synthetic Biology

Genetic Circuit Design

Metabolic Pathway Design

Promoter & RBS Design

CRISPR Guide RNA Design

Ready to Design Your Next Project?

Advanced Design Tools & AI Models

Machine Learning Models

SBOL & SBML Standards

Circuit Simulation

Biological Databases

Design Tool Comparison

Design Service Parameters

Genetic Circuits

Metabolic Pathways

Promoter & RBS

CRISPR Design

Assembly Design

Simulation & Analysis

Custom Design Services

Our Design Process

Consultation

Computational Design

Simulation & Analysis

Design Delivery

Design Service Use Cases

Metabolic Engineering

Biosensors

Therapeutics

Agriculture

Industrial Enzymes

Computational Research

What Our Clients Say

Frequently Asked Questions

What design formats do you support?

How accurate are the circuit simulations?

Can you integrate with our existing workflow?

What biological hosts do you support?

Do you offer custom ML model development?

How do you protect IP and confidential designs?

What is the typical turnaround time?

Can you design multi-gene pathways?

Ready to Start Your Project?

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