The Global Lab Automation in Protein Engineering market is valued at USD XX. XX billion in 2016 and is expected to reach a value of USD XX. XX billion by the end of 2022, growing at a projected CAGR of XX. XX % during the forecast period of 2017 – 2022. The emergence of robotics has transformed the typical workday for scientists around the world. With the advent of automation techniques, scientists are now able to set up, run and analyze the results of experiments in a fraction of the time they needed in the past. In today ' s world, pulling maximum efficiency out of every department, including the R & D labs, is a major issue.
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Protein engineering involves various steps like macromolecular structure determination, from scaling data to calculating an electron density map. Software can be used to improve electron density maps through a statistical approach in combining experimental X-ray diffraction data with information about the expected characteristics of an electron map. Automation helps scientists to understand and solve the mysteries of protein dysfunction, including misfolding, aggregation, and abnormal movement. This will, in turn, help in monitoring the expression level of a target protein facilitating more effective drug discovery. Automation of routine laboratory procedures, by the use of dedicated work stations and software to program instruments, allows associate scientists and technicians to think creatively about the implications of their experiments and to design effective follow-up projects or develop alternative approaches to their work instead of spending their days repeating tedious tasks.
Apart from reducing mundane tasks, the market for laboratory automation is also driven by the need for consistency in quality. Because, the cost of an error is very high in a scientific paper or developing a drug, even fairly low error rates can have a profound impact on the conclusions you make downstream.
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It is believed that taking out the human element helps in achieving more consistency. Great advances have been made in the molding of plastics that has reduced the volumes of reagents used and enabled handling of smaller liquid volumes easy. These advancements have worked in favor of the development of micro and nano-litre plates to fit in with the automated liquid handling equipment.
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