The Development and Opportunities of Predictive Biotechnology

Area of Science:

• Biotechnology
• Bioeconomy
• Computational Biology

Background:

• The bioeconomy is rapidly advancing, integrating new process chains and production methods.
• Progress is increasingly supported by sophisticated prediction tools developed by academia and industry.
• Tools like AlphaFold2 and RoseTTAFold have significantly improved protein structure prediction.

Purpose of the Study:

• To highlight the growing impact of Artificial Intelligence (AI) in biocatalysis and biotechnology.
• To emphasize the synergistic opportunities for academia and industry in leveraging AI for accelerated advancements.
• To underscore the interdisciplinary nature of biotechnology and its potential to benefit from AI integration.

Main Methods:

• Review of recent advancements in bioeconomy process chains.
• Identification and discussion of popular prediction tools in bioinformatics.
• Analysis of the emerging trend of AI-based tool development for biotechnology.

Main Results:

• Automated genome annotation and protein structure prediction tools are gaining widespread adoption.
• A significant increase in the development and application of AI-based tools for biocatalysis and biotechnology is observed.
• These AI tools are enhancing the capabilities of both academic research and industrial applications.

Conclusions:

• AI-driven tools represent a transformative opportunity for the field of biotechnology.
• Collaboration between academia and industry is crucial for maximizing the benefits of these AI advancements.
• The integration of AI is poised to further accelerate innovation and growth within the bioeconomy.