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World Structural Proteomics Markets
Frost & Sullivan, May 2003
Desire for High Throughput Protein Crystallography Ignites Demand for Automated Crystallization
The need to understand exactly how small molecules bind to their protein target is driving the demand for protein crystallography in drug discovery. A higher throughput protein crystallography process requires protein crystallization to also become high throughput and this is best achieved through automated crystallization. A number of large proteomic initiatives are being launched, increasing market opportunities for automated crystallization.
This Frost & Sullivan research analyzes the global market for structural proteomics. It provides an analysis of market drivers, restraints, and forecasts, identifying areas of growth. The study covers liquid handlers used for protein purification; automated protein crystallization instruments; nuclear magnetic resonance (NMR) spectrometers, and X-ray systems used for protein studies.
Drug Discovery Initiatives Drive Technological Advancements in Structural Proteomics
Pharmaceutical companies agree that structure discovery helps lead optimization, says the author of the study. With rapid technology advances, structure-based design is set to become a preferred method for discovering new drugs.
As an increasing number of companies discover the importance and significance of protein structure studies for drug discovery, more efforts are being made toward improving structural determination technologies. Market consolidation and industrialization along with the introduction of powerful integrated systems is changing research approaches. Besides automation, miniaturization of protein crystals and processes including purification is another big trend.
Lack of Experienced Researchers Increases Need for Automated Crystallization
Protein crystallization is a process that requires training, skill, and time. The number of trained researchers and people willing to commit to such a process is decreasing. The surge in automation has addressed the worrisome dearth of protein-structure researchers, says the analyst.
However, automation allows researchers with less experience and training to be involved in crystallization. A novice, with an expert's guidance, can now perform projects that once required the full-time attention of an expert. Automation eliminates much of the repetitive work involved in setting up the massive number of crystallization trials. This frees researchers, allowing them to focus on increasing productivity, reproducibility, and throughput.
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