Case Study: Optimizing API Production Through AI-Guided Enzyme Engineering
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NGS Library Prep Enzymes Design and Optimization

Our advanced enzyme AI design platform - EnzymoGenius™ specializes in tailoring NGS (next-generation sequencing) library preparation enzyme products and solutions for the precise manipulation of DNA and RNA molecules, exclusively for applications within the pharmaceutical and biotechnology scientific sectors. We are committed to advancing genetic research and analysis by providing cutting-edge enzymatic tools and services that meet the highest standards of quality and precision.

Background

NGS library preparation enzymes are crucial for the acquisition and amplification of genetic material from samples to support efficient sequencing in Next-Generation Sequencing (NGS) applications. These specialized enzymes convert fragmented DNA and RNA samples into a library of DNA molecules. Bioengineered NGS library preparation enzymes hold groundbreaking potential within the realms of genomics, personalized medicine, and disease research. Playing a pivotal role in the construction of sequence libraries, these enzymes ensure that the sequences of interest are adequately represented within the sample.

Generic workflow for NGS.Fig 1. Generic workflow for NGS. (Hess J F, et al., 2020)

Preparation encompasses several stages such as end-repair, adapter ligation, and amplification. Each step involves different enzymes. The DNA molecules undergo fragmentation and repair by enzymes, creating blunt ends. This repair mechanism utilizes T4 DNA polymerase, T4 PNK, and Klenow fragment. Subsequent adapter ligation is facilitated by DNA Ligase, while DNA polymerases perform the critical function of amplifying the constructed library.

Products and Solutions Offering

Custom Products

  • Enzyme Kits. Our kits include all necessary enzymes and reagents for NGS library preparation, simplifying your workflow.
  • Enzyme Concentrates. High-purity enzyme concentrates for researchers who prefer to customize their library prep protocols.
  • Enzyme Buffers. Optimized buffers to enhance enzymatic reactions and ensure consistent results.
  • Enzyme Storage Solutions. Specially formulated solutions to prolong enzyme stability and shelf life.

Custom Solutions

  • Sequence Analysis. Leveraging advanced algorithms, we analyze the specific DNA or RNA sequences involved in your research project.
  • Enzyme Design & Tailored Enzyme Formulations. We custom-design enzymes tailored to unique needs, ensuring optimal performance in library preparation, and customize enzyme formulations to meet specific project requirements.
  • Validation & Optimization. Our team rigorously tests the designed enzymes and fine-tunes enzyme formulations to maximize efficiency, accuracy, and compatibility with various NGS platforms.
  • Protocol Development. Our experts can assist in developing custom library prep protocols for unique applications.

Technical Advantages

  • Machine Learning Algorithms. Employing state-of-the-art machine learning techniques to optimize sequence design and enzyme selection.
  • AI Algorithms. Cutting-edge algorithms analyze genetic sequences, informing enzyme design.
  • Molecular Modeling. Advanced computational techniques aid in enzyme structure prediction and optimization.
  • Bioprocessing. State-of-the-art bioprocessing technologies ensure the production of high-quality enzymes.
  • Sequencing Platforms. Integration with various NGS platforms to verify library prep efficiency.

CD Biosynsis offers a comprehensive suite of enzyme-related products and services, from sequence analysis and enzyme design to consultation and protocol development. Our cutting-edge technologies and expertise support a wide range of applications critical to advancing research in genomics, drug development, and structural biology. For inquiries and to harness the power of our enzyme solutions, please contact us today.

Reference

  1. Hess, J. F.; et al. Library preparation for next generation sequencing: A review of automation strategies. Biotechnology advances. 2020, 41, 107537.

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