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Report Highlights
This report provides an outlook of artificial intelligence (AI) impact on the global protein expression market. It highlights adoption trends across the major geographical regions. The report discusses disruptions caused by AI across key industry verticals and the impact on various stages of the value chain. The report concludes with a key spending by companies on AI and venture capital investment by country and industry.
Report Includes
- Impact analysis of artificial intelligence (AI) on the Protein Expression market
- Case studies for successful integration of AI for plant-based protein functionality and enabling the design of novel proteins
- BCC viewpoint on how AI can affect the protein expression market and a trend analysis
- Highlights of AI adoption trends across the major geographical regions as well as disruptions caused by AI across key industry verticals
- Review of AI impact on the various stages of protein expression market supply chain, including the production of reagents, vectors, competent cells, and instruments, and the provision of services
- Analysis of companies’ key strategic initiatives, market spendings on AI and an investment outlook
Report Scope
Artificial intelligence (AI), especially machine learning (ML), is revolutionizing the protein expression market. The integration of AI and ML into protein expression enables the design of proteins with desired functions from scratch, optimizes expression conditions to maximize yield and stability, accurately predicts protein folding and structure, and facilitates high-throughput screening of protein variants and cell-free expression systems.
The use of AI in protein design is rapidly increasing due to advancements in deep learning, generative AI and the expansion of extensive protein structure databases. This has led to significant investments and a shift from focusing on structure to prioritizing functionality.
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