Artificial intelligence powers protein-folding predictions Market Estimated to Boost Growth in Demand by 2027 with Thermo Fisher Scientific, Danaher Corporation, Agilent Technologies, Bio-Rad Laboratories

The protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence that is, the prediction of its secondary and tertiary structure from the primary structure. When you can accurately compute a protein's DOS, you can predict the protein's free energy of folding and its denaturation and cooperativity properties.
The protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence1. This problem is of fundamental importance as the structure of a protein largely determines its function2; however, protein structures can be difficult to determine experimentally.

The shape determines its function. If the structure of the protein changes, it is unable to perform its function. Correctly predicting protein folds based on the amino acid sequence could revolutionize drug design, and explain the causes of new and old diseases. In milestone, software predictions finally match structures calculated from experimental data. Artificial intelligence (AI) has solved one of biology's grand challenges: predicting how proteins curl up from a linear chain of amino acids into 3D shapes that allow them to carry out life's tasks.
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Key Players-
Thermo Fisher Scientific, Danaher Corporation, Agilent Technologies, Bio-Rad Laboratories, Bruker Corporation, GE Healthcare, Waters Corporation, Sigma-Aldrich Corporation, Genscripts USA, Inc. and Perkinelmer, Inc.

The pharmaceutical and healthcare industry has undergone tremendous change over recent years, especially with the emergence of the COVID-19 pandemic. Increasing accessibility of advanced healthcare systems and low-cost technologies coupled with growing demand for over-the-counter medications has further changed the dynamics of the industry. Integration of robust technologies such as AI and blockchain has helped pharmaceutical companies reduce capital expenditure and strengthen the global supply chain. Increasing application of biosimilars, shifting focus to in-silico testing of pharmaceutical products, and rising number of product approvals from regulatory authorities are some key factors driving revenue growth of the market.
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Artificial intelligence powers protein-folding predictions Market Segmentation
By Product
• Instruments
• Consumables
• Software & Services
By Type
• Monoclonal Antibodies
• Erythropoietin
• Interferons
• Vaccines
• Colony-stimulating Factors
• Growth Hormones
• Coagulation Factors
• Others
The report provides a comprehensive analysis of the market scope, supply chains, distribution channels, trends and demands in each region, revenue generation, market size, and presence of prominent companies in each region. It studies the revenue growth of the market in each region and their key countries based on several factors such as macro-and micro-economic growth factors, regulatory framework and policies, investment and funding opportunities, R&D and technological advancements, and growth prospects.
Key Regions Assessed in the Report:
• North America (U.S., Canada, Mexico)
• Europe (U.K., Germany, Italy, France, Rest of Europe)
• Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
• Latin America (Brazil, Argentina, Rest of Latin America)
• Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Detailed TOC of Global Artificial intelligence powers protein-folding predictions Market Research Report-
– Artificial intelligence powers protein-folding predictions Market Introduction and Market Overview
– Artificial intelligence powers protein-folding predictions Market, by Application
– Artificial intelligence powers protein-folding predictions Market Industry Chain Analysis
– Artificial intelligence powers protein-folding predictions Market, by Type
– Industry Manufacture, Consumption, Export, Import by Regions
– Industry Value ($) by Region
– Global Artificial intelligence powers protein-folding predictions Market Status and SWOT Analysis by Regions
– Major Region of Artificial intelligence powers protein-folding predictions Market
i) Global Artificial intelligence powers protein-folding predictions Market Sales
ii) Global Artificial intelligence powers protein-folding predictions Market Revenue & market share
– Major Companies List
– Conclusion

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