Press release
Difficult-to-Express Proteins Market 2024 - Size, Share, Outlook, Overview 2033
Difficult-to-Express Proteins Market Structure
As per the report, the difficult-to-express proteins market size has grown rapidly in recent years. It will grow from $4.11 billion in 2023 to $4.63 billion in 2024 at a compound annual growth rate (CAGR) of 12.6%. The difficult-to-express proteins market size is expected to see rapid growth in the next few years. It will grow to $7.09 billion in 2028 at a compound annual growth rate (CAGR) of 11.3%.
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Surging Demand For Recombinant Proteins Drives Growth In The Difficult-To-Express Protein Market
Rising demand for recombinant proteins is expected to propel the growth of the difficult-to-express protein market going forward. Recombinant protein is created using recombinant DNA (deoxyribonucleic acid), or DNA that has undergone modification to produce the genetic code of a protein of desire. Difficult-to-express proteins are used in recombinant protein synthesis to examine their specific activities, protein-protein interactions, and the development of innovative therapeutics for complex medical diseases. For instance, in 2022, according to the annual report published by Amgen Inc., a US-based biopharmaceutical company, Prolia (Denosumab), a recombinant human monoclonal antibody (protein), witnessed 12% growth in annual sales, generating $3,628 million in 2022, compared with $3,248 million in 2021. Therefore, the rising demand for recombinant proteins propels the growth of the difficult-to-express protein market.
Evozyne's Breakthrough AI Model Paves The Way For Innovation In The Difficult-To-Express Protein Market
The development of innovative technologies is a key trend gaining popularity in the difficult-to-express protein market. Major companies operating in the difficult-to-express protein market are focused on developing innovative technologies to sustain their position in the market. For instance, in January 2023, Evozyne, a US-based biotechnology company, developed an innovative AI model called Protein Transformer Variational AutoEncoder to design therapeutic proteins. This technique creates a framework for effectively training and deploying big language models for biology. The end resultant model is an innovative take on deep learning that brings up new possibilities for the data-driven design of engineered proteins with designed functionality.
The difficult-to-express proteins market covered in this report is segmented -
1) By Protein: Proteases, Kinases, Membrane Proteins, Other Proteins
2) By Expression Of Difficult Proteins: Disulfide-bonded Protein Expression, Membrane Protein Expression, Toxic Protein Expression, Target Protein Insolubility
3) By Technology: Cell-free Protein Synthesis, Prokaryotic Expression Systems, Small Ubiquitin-like Modifier (SUMO) Fusion System, Gene Fusion Systems, Other Technologies
4) By Application: Drug Discovery, Protein Purification, Protein Therapeutics, Disease Diagnostics And Monitoring, Other Applications
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Major companies operating in the difficult-to-express proteins market report are Thermo Fisher Scientific Inc., Merck KGaA, Lonza Group Ltd, Catalent Inc., Sartorius AG, Charles River Laboratories International Inc., Bio-Rad Laboratories Inc., Samsung Biologics Co. Ltd., Bio-Techne Corp., GenScript Biotech Corporation, Ajinomoto Bio-Pharma Services, Novasep Holding SAS, Rentschler Biopharma SE, BioLegend Inc., Codexis Inc., Enzo Biochem Inc., Sino Biological Inc., Horizon Discovery Ltd., Creative Biolabs Inc., OriGene Technologies Inc., Celonic AG, Cube Biotech GmbH, Lucigen Corporation, Batavia Biosciences Inc., Cytovance Biologics Inc., Alloy Therapeutics Inc., Aragen Bioscience Inc., Selexis SA, LifeSensors Inc., Bionova Scientific Inc.
Contents of the report:
1. Executive Summary
2. Difficult-to-Express Proteins Market Report Structure
3. Difficult-to-Express Proteins Market Trends And Strategies
4. Difficult-to-Express Proteins Market - Macro Economic Scenario
5. Difficult-to-Express Proteins Market Size And Growth
…..
27. Difficult-to-Express Proteins Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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