Cas Protein Characterization and Transformation Service

The Cas protein genes encoded by CRISPR arrays provide a revolutionary tool for genome engineering. These Cas proteins (such as Cas9, Cas12, Cas13, and Cas14) are known for their programmable sequence specificity and have been widely used to edit nucleic acid sequences in organisms. Their discovery has completely changed the research methods of natural science and promoted the widespread application of gene editing technology in basic research, medical treatment, disease diagnosis and other fields. However, the understanding of Cas protein mechanism is still limited, especially in reducing off-target effects and improving editing efficiency. Therefore, by characterizing, mining and improving Cas proteins, its applications in genome engineering can be further expanded, including but not limited to developing new editing tools, supporting personalized medicine and precision medicine, enhancing drug resistance and stability, etc.

Creative Biogene's Cas Protein Characterization and Transformation Service aims to use deep learning and bioinformatics technologies to comprehensively characterize and transform the Cas protein in the CRISPR-Cas system to improve its efficiency and specificity in gene editing and related applications. This service covers Cas protein activity assessment, off-target effect analysis, mutation prediction, and other aspects, providing users with customized protein modification solutions.

Figure 1 illustrates the generation of diverse CRISPR-associated protein families, showcasing an overview of the language modeling approach to design CRISPR-Cas systems, where language models are trained on diverse proteins across the evolutionary tree and fine-tuned on CRISPR-associated protein and nucleic acid data for specialized design. (doi: 10.1101/2024.04.22.590591) Figure 1. Overview of the language modeling approach to design CRISPR-Cas systems. (Jeffrey A. R., et al., 2024)

Cas Protein Characterization and Transformation Service Content

Assessment of Cas Protein Activity

Evaluate the editing efficiency and specificity of Cas protein through deep learning models and bioinformatics analysis. This section aims to provide users with the best Cas protein selection options for the target genome.

Off-Target Effect Analysis

Use advanced deep learning algorithms to predict potential off-target effects of Cas proteins in the genome. This helps users evaluate the safety and feasibility of editing scenarios.

Mutation Prediction and Design

Based on deep learning models and protein structure prediction technology, design and predict mutations of Cas proteins to improve their editing efficiency and specificity.

Process Details of Our Cas Protein Characterization and Transformation Service

1. Initial Consultation and Demand Confirmation

Before the service begins, we will conduct preliminary communication with the clients to understand their research needs and project goals. We will learn more about the client's experimental subjects, editing goals, expected editing effects, and other information, and ensure that we understand the client's needs.

2. Data Collection and Preparation

Based on the information provided by the customer, we will collect and organize relevant genomic data, Cas protein sequence information, experimental conditions, and other data. This data will serve as the basis for our analysis and modeling.

3. Assessment of Cas Protein Activity

We will use pre-trained deep-learning models and bioinformatics tools to evaluate the activity of Cas proteins. We will analyze the interaction of Cas proteins with target sequences and predict their editing efficiency and specificity.

4. Off-target Effect Analysis

Using deep learning models and bioinformatics algorithms, we will analyze and predict the potential off-target effects of Cas proteins in the genome. We will identify possible off-target sites and evaluate their impact on editing results.

5. Mutation Prediction and Design

Based on the existing Cas protein structure and sequence information, we will use bioinformatics technology and deep learning algorithms to predict potential mutation sites and design new Cas protein sequences to optimize their editing effect.

6. Suggestions on Activity Enhancement Strategies

Based on the results of activity assessment, off-target effect analysis and mutation prediction, we will provide customers with targeted activity enhancement strategy recommendations. These suggestions may include aspects such as sequence optimization, protein engineering, or optimization of experimental conditions.

7. Reports and Discussions

We will provide clients with a detailed report summarizing our analysis results and recommendations. We will discuss with the customer to answer any questions they may have and provide further support and consulting services as needed.

Through the above process, Creative Biogene's Cas Protein Characterization and Transformation Service will provide you with comprehensive and customized protein transformation solutions to help you achieve more efficient and precise gene editing goals. Experience precision and innovation with our customized protein modification solutions!

* For research use only. Not intended for any clinical use.

Quick Inquiry