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E. coli-Based Assay and Modeling Services

CD Biosynsis offers expert E. coli-Based Assay and Modeling Services, leveraging the microbial chassis for high-throughput screening, biosensor development, and predictive metabolic analysis. We utilize robust genetic circuits and computational techniques, such as Flux Balance Analysis (FBA), to accelerate drug discovery, chemical synthesis, and synthetic biology projects. Our services cover the design of customized biological assays and the application of in silico models to optimize bioproduction and pathway efficiency.

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Accelerating Discovery with Microbial Assays and Computational Biology

The E. coli system is ideal for rapidly building and testing biological functions, from simple reporter circuits to complex metabolic pathways. We address the challenges of traditional screening by integrating genetic circuits into the host, creating highly specific and sensitive biosensors. Furthermore, our in silico modeling services provide predictive insights into strain behavior, allowing researchers to prioritize genetic modifications that lead to optimal yield and minimal trial-and-error in the lab. This combined approach of wet-lab assay development and dry-lab computational modeling maximizes efficiency.

Custom E. coli Assay and Modeling Solutions

Biosensor & High-Throughput Assay Metabolic & Flux Analysis Modeling Custom Library Screening

Designing Smart E. coli Detection Systems

Sensitive and Specific Readouts

Small Molecule Biosensor Design

Engineering E. coli strains with genetic circuits that respond to target metabolites (e.g., inducers, drugs) by generating a measurable signal (fluorescence, luminescence).

Reporter Assay Development

Custom construction of promoter-reporter fusions (GFP, mCherry, LacZ) for quantifying gene expression, promoter strength, or drug toxicity in vivo.

Host-Pathogen Interaction Assays

Developing specialized E. coli systems to screen inhibitors that disrupt protein-protein interactions between host and pathogen factors.

Predictive Computational Analysis

Optimizing the E. coli Chassis In Silico

Flux Balance Analysis (FBA)

Using genome-scale metabolic models (GSMMs) to predict optimal gene knockout/knockdown strategies for maximizing target compound flux.

Pathway Bottleneck Identification

Computational analysis of kinetic data and reaction rates to pinpoint and suggest fixes for rate-limiting steps in a synthetic biosynthetic pathway.

Growth Condition Prediction

Modeling and predicting the optimal media composition, carbon source, and oxygen requirements for scaled-up fermentation processes.

High-Throughput Screening (HTS)

Rapidly Testing Thousands of Variants

Combinatorial Enzyme Screening

HTS of large libraries containing variants of pathway enzymes (e.g., from directed evolution) using robotic systems and plate readers.

Promoter/RBS Library Evaluation

Quantifying the expression strength of promoter and Ribosome Binding Site (RBS) libraries to achieve balanced pathway flux.

Toxicity and Tolerance Assays

Developing assays to measure the tolerance of engineered strains to toxic intermediates, high product concentrations, or stress conditions.

Integrated Assay Design and Optimization Pipeline

A systematic process connecting in silico prediction with high-throughput experimental verification.

Design & Modeling

Build & Assembly

Assay & Screening

Analysis & Optimization

Computational: FBA to identify optimal targets for engineering, or defining the required sensor response range.

Strategy: Selection of the appropriate host, genetic circuit type, and readout system (fluorescence, activity).

Gene Synthesis: High-fidelity synthesis of sensor components, pathway variants, or expression libraries.

Cloning: Assembly of genetic circuits and pathways into E. coli host vectors or genome.

HTS: Small-scale screening of library variants using automated plate readers and biosensors.

Quantification: Measurement of reporter signal (fluorescence/activity) or product titer (HPLC/GC-MS) for performance data.

  • Data Integration: Applying experimental data to refine computational models (FBA/GSMMs).
  • Iteration: Suggesting the next round of genetic modifications (knockouts, overexpression) based on the "Learn" phase.

Precision and Speed in Discovery and Optimization

Integrated In Silico/Wet-Lab

           

Seamless connection between predictive metabolic modeling (FBA) and high-throughput experimental validation.

Customizable Biosensor Platforms

           

Design and engineering of specific E. coli biosensors for detecting a broad range of small molecule targets.

High-Throughput Capability

           

Automated screening systems for rapidly evaluating thousands of genetic variants, enzymes, or drug compounds.

Targeted Pathway Optimization

           

Using modeling to pinpoint and experimentally address rate-limiting steps for superior pathway efficiency and titer.

Client Testimonials on Assay & Modeling

   
   

"The FBA modeling results accurately predicted the necessary gene knockouts, saving us months of empirical testing and directly leading to a 30% increase in product yield."

Dr. Sarah Chen, Head of Process Development, Biomanufacturing

"The custom E. coli Biosensor developed by CD Biosynsis proved to be highly sensitive and was successfully integrated into our HTS platform for drug lead screening."

Mr. Alex Johnson, R&D Manager, Pharmaceutical Discovery

"We used their Combinatorial Enzyme Screening service to identify the best performing variant from a library of over 5000 enzymes, rapidly resolving a pathway bottleneck."

Ms. Nicole Kim, Research Scientist, Biofuel Engineering

"We commissioned CD Biosynsis to support an intricate gene editing project with multiple targets. Their talent in producing high-quality work in a short period of time was impressive. Their solutions were custom made to suit our needs, and they went above and beyond to ensure our experiments worked. Their support has been a great asset to our research department and we look forward to further working with them."

Dr. Raj Patel, Principal Investigator, Department of Molecular Biology

"As a pharmaceutical company working to discover new cancer therapies, we require accurate, trustworthy gene editing solutions. CD Biosynsis did more than what we expected when it came to providing strong, accurate CRISPR/Cas9 solutions for our preclinical research. Their technical support team was excellent and responsive, and they quickly replied to our questions. This alliance has been pivotal in helping us move our drug pipeline forward. Thank you, CD Biosynsis, for your amazing service!"

Dr. Clara Rodriguez, Chief Scientist, AstraZeneca Pharmaceuticals, Spain

   
   
   
           
   

FAQs about E. coli-Based Assay and Modeling Services

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What is Flux Balance Analysis (FBA) and how does it help?

FBA is a computational technique that uses a mathematical model of E. coli's metabolism to predict the optimal distribution of metabolic fluxes. This helps us identify precise genetic targets (e.g., gene knockouts) to maximize the production of a desired compound.

What types of molecules can the E. coli biosensors detect?

We can engineer biosensors to detect a wide range of molecules, including specific small molecule metabolites, key intermediates in a biosynthetic pathway, or inhibitory drug compounds, based on the availability of a corresponding transcriptional regulator.

What is the throughput of your library screening service?

We utilize automated robotic systems and plate readers, allowing us to screen libraries ranging from hundreds to tens of thousands of variants (e.g., promoter or enzyme mutants) per project, significantly accelerating the optimization process.

How does the modeling integrate with the wet-lab work?

The modeling phase (FBA) generates testable predictions. The wet-lab assay/screening phase provides quantitative data (titer, activity) to validate and refine the model, forming a crucial iterative cycle for strain optimization.

How much does Metabolic Engineering services cost?

The cost of Metabolic Engineering services depends on the project scope, complexity of the target compound, the host organism chosen, and the required yield optimization. We provide customized quotes after a detailed discussion of your specific research objectives.

Do your engineered strains meet regulatory standards?

We adhere to high quality control standards in all strain construction and optimization processes. While we do not handle final regulatory approval, our detailed documentation and compliance with best laboratory practices ensure your engineered strains are prepared for necessary regulatory filings (e.g., GRAS, FDA).

What to look for when selecting the best gene editing service?

We provide various gene editing services such as CRISPR-sgRNA library generation, stable transformation cell line generation, gene knockout cell line generation, and gene point mutation cell line generation. Users are free to select the type of service that suits their research.

Does gene editing allow customisability?

Yes, we offer very customised gene editing solutions such as AAV vector capsid directed evolution, mRNA vector gene delivery, library creation, promoter evolution and screening, etc.

What is the process for keeping data private and confidential?

We adhere to the data privacy policy completely, and all customer data and experimental data are kept confidential.

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