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Enzyme design strategies and processes by AI (Yongfan Ming, et al., 2022)

AI Guided Enzyme Design

AI Guided Enzyme Design is a process that uses artificial intelligence and machine learning to design and improve enzymes. It combines computational methods, machine learning algorithms, and experimental validation for precise results. The use of AI in enzyme design process allows for a more efficient and quicker design of new enzymes, as well as the enhancement of existing ones. It can predict the structure and function of enzymes based on their sequence, removing a lot of the guesswork from enzyme design. It serves a crucial role in modern enzyme design, with the potential to create enzymes with novel functions that could not be achieved using traditional methods.

Ribbon diagram of human N-acetylgalactosamine-4-sulfatase crystal structure.

Enzyme Structural Biology & Computational Modeling

Our company is a pioneering company that harnesses the power of artificial intelligence to revolutionize enzyme design and optimization. We specialize in providing state-of-the-art AI-guided enzyme design services to industries seeking innovative solutions and enhanced enzymatic processes.

Enzyme Substrate Prediction model.

Enzymes Predictive Modeling

Predictive modeling for AI-guided enzyme design involves using computational techniques, statistical models, and machine learning algorithms to predict and analyze various aspects of enzyme behavior, properties, and performance. It plays a crucial role in accelerating the enzyme design process by providing insights and guidance for selecting or designing enzyme variants with desired characteristics. Our predictive modeling method can accelerate the discovery and optimization of enzymes with tailored properties for you.

The concept of expanding zone to create libraries of increasing complexity.

Enzyme Variants Libraries Design

In AI-guided enzyme design, libraries of enzyme variants can be generated by introducing specific types of mutations into the enzyme's amino acid sequence. These mutations are aimed at exploring different sequence space and altering the enzyme's properties. AI-guided enzyme design can aid in library creation by providing computational predictions and insights to guide the selection of mutations and prioritize variants for experimental validation.

Boost-RS framework

Enzyme-Substrate Interaction

CD Biosynsis is a leading expert that dedicated to providing a wide range of enzyme design services for a long time. We specialize in providing AI-guided enzyme design services to industries seeking innovative solutions and enhanced enzymatic processes.

Framework for metagenomics inculcates its two main studies.

Metagenomics-Aided Enzyme Discovery

Many diverse enzymes excavated from metagenomes were widely used in agriculture, food, health, and environmental fields. CD Biosynsis is pleased to support your enzyme discovery and enzyme modification projects with our metagenomics and advanced bioinformatics algorithms. Here, Whatever your research purpose, our expert team will determine the best solution for your project based on specific requirements.

Flowchart of strategies for in silico selection and experimental characterization of candidate metagenomic enzymes.

In silico Analysis-Aided Enzyme Discovery

Our company is a pioneer in harnessing the power of artificial intelligence to revolutionize enzyme design and optimization. Our goal is to provide ideal biocatalysts to industries seeking innovative solutions and enhanced enzymatic processes through state-of-the-art in silico analysis services.

Comparative genomics workflow.

Comparative Genomics-Aided Enzyme Discovery

Comparative genomics is a powerful tool used in enzyme design and discovery. CD Biosynsis is pleased to support your enzyme discovery and enzyme modification projects with our comparative genomics platform. Here, Whatever your research purpose, our expert team will determine the best solution for your project based on specific requirements.

Physics-informed ML framework for predictive modeling.

AI Data Collection for HTP Enzyme Screening

CD Biosynsis is a leader in using artificial intelligence to advance enzyme engineering. With a professional team of scientists, we have long been dedicated to providing researchers with targeted enzyme evolution and design services. As artificial intelligence has been widely used in various fields in recent years, our EnzymoGeniusTM platform also applies artificial intelligence in the high-throughput enzyme screening process to accelerate the discovery of enzyme mutants.

he process of creating a machine learning model.

AI Model Training for HTP Enzyme Screening

CD Biosynsis is a leader in using artificial intelligence to advance enzyme engineering. With a professional team of scientists, we have long been dedicated to providing researchers with targeted enzyme evolution and design services. As artificial intelligence has been widely used in various fields in recent years, our EnzymoGeniusTM platform also applies artificial intelligence in the high-throughput enzyme screening process to accelerate the discovery of enzyme mutants.

Application of AI in echocardiography.

AI Predictive Screening for HTP Enzyme Screening

CD Biosynsis is a leader in using artificial intelligence to advance enzyme engineering. With a professional team of scientists, we have long been dedicated to providing researchers with targeted enzyme evolution and design services. As artificial intelligence has been widely used in various fields in recent years, our EnzymoGeniusTM platform also applies artificial intelligence in the high-throughput enzyme screening process to accelerate the discovery of enzyme mutants.

Closed-loop workflow for computational autonomous molecular design.

AI Feedback Loop for HTP Enzyme Screening

CD Biosynsis is a leader in using artificial intelligence to advance enzyme engineering. With a professional team of scientists, we have long been dedicated to providing researchers with targeted enzyme evolution and design services. As artificial intelligence has been widely used in various fields in recent years, our EnzymoGeniusTM platform also applies artificial intelligence in the high-throughput enzyme screening process to accelerate the discovery of enzyme mutants.

Schematic of the common pipeline in scRNA-seq analysis.

AI Data Analysis for HTP Enzyme Screening

CD Biosynsis is a leader in using artificial intelligence to advance enzyme engineering. With a professional team of scientists, we have long been dedicated to providing researchers with targeted enzyme evolution and design services. As artificial intelligence has been widely used in various fields in recent years, our EnzymoGeniusTM platform also applies artificial intelligence in the high-throughput enzyme screening process to accelerate the discovery of enzyme mutants.

A Case Study: Biofuels and Renewable Chemicals Production

A Case Study: Biofuels and Renewable Chemicals Production

In an era of increasing demand for sustainable energy and chemical solutions, the capacity to produce biofuels and renewable chemicals efficiently is of paramount importance. This case study demonstrates how our proprietary EnzymoGenius™ platform was employed to enhance the enzymatic lignocellulosic biomass degradation. Utilizing advanced AI algorithms, we engineered a specialized cellulase enzyme—named "BioCatalyX"-that not only increased yields but also reduced production costs.

A Case Study: Pharmaceutical and Biotechnology

A Case Study: Pharmaceutical and Biotechnology

In the highly competitive and heavily regulated pharmaceutical and biotechnology industries, efficiency and innovation are key factors that can determine the success of a product. This case study focuses on how our EnzymoGenius™ platform was employed to optimize a critical step in the production of an Active Pharmaceutical Ingredient (API). The project aimed to improve the yield, efficiency, and stereoselectivity of the enzymatic biosynthesis process, promising to significantly reduce manufacturing costs and environmental impacts.

A Case Study: Food and Beverage Industry

A Case Study: Food and Beverage Industry

The food and beverage industry is continually searching for innovative ways to enhance flavors, improve production efficiency, and meet consumer demands for high-quality, consistent products. Leveraging the potential of artificial intelligence (AI) in enzyme engineering, we have developed "FlavorGenix, " a highly optimized Pectinase enzyme. Created using our EnzymoGenius™ platform, FlavorGenix promises to improve the fermentation process in the food and beverage sector by enhancing production efficiency and ensuring consistent flavor profiles.

A Case Study: Agriculture Industry

A Case Study: Agriculture Industry

One of the most pressing challenges facing the agriculture industry today is meeting the ever-increasing demand for food production while mitigating the environmental consequences of synthetic fertilizers. Addressing these challenges, we've utilized cutting-edge artificial intelligence (AI) algorithms, EnzymoGenius™ to engineer "AgriBoost," a nitrogenase enzyme engineered to more efficiently convert atmospheric nitrogen into forms that are directly usable by plants. This innovation aims to boost crop yield and reduce reliance on synthetic fertilizers.

A Case Study: Fabric & Household Care

A Case Study: Fabric & Household Care

The fabric and household care industry is in a continuous search for innovations that can provide more effective cleaning solutions while minimizing environmental impact. This case study highlights how our cutting-edge artificial intelligence (AI) technology, EnzymoGenius™ was leveraged to engineer an amylase enzyme, "CleanZyme-Pro, " which redefines the standards for stain removal and detergent efficiency in household care products