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Recently, at the Zhongguancun Forum "Artificial Intelligence Driven Scientific Research Forum", Xu Jinbo, a well-known computational biologist and distinguished visiting professor at Tsinghua University Intelligent Industry Research Institute (AIR), said that AI biology has become a new era of global technological integration and innovation. In the core field, driven by emerging technologies represented by AI protein design technology, the field of biotechnology is undergoing disruptive changes.
Xu Jinbo believes that AI is currently regarded as the core driving force for a new round of technological revolution and industrial transformation. The bioeconomy has also become a strategic field that many countries around the world have invested in. AI and biology are developing together and becoming a global technological competition. New core areas and will drive trillions of yuan in direct economic benefits.
In the past few years, the integration of protein structure prediction and artificial intelligence, as the basis of biotechnology, has brought revolutionary changes to life sciences. "Xu Jinbo introduced that protein is the basis of life. Protein drugs and related products have huge value in the fields of life and health, industry, agriculture and other fields. Since the 1950s, scientists have used X-rays, nuclear magnetic resonance, cryo-electron microscopy and other methods to , hoping to "see clearly" the three-dimensional structure of a protein in order to analyze its function, but due to technical limitations, the success rate is extremely low. Historically, scientists who have successfully analyzed a certain protein structure or made breakthroughs in analytical technology have repeatedly won awards. The Nobel Prize demonstrates the difficulty and value of this issue.
"With the help of AI methods, humans have basically solved the problem of protein structure prediction," Xu Jinbo said, but this is only the beginning. Only by designing proteins that do not exist in nature according to specific functional requirements or transforming existing proteins can we provide biological Technology brings truly disruptive breakthroughs and brings opportunities for reconstruction of the entire bioeconomy. "Drug research and development, green agriculture represented by agricultural breeding, green pesticides, high-performance materials, environmental protection, food and other fields will all benefit from the development of AI protein design technology."
For example, in the traditional agricultural field, AI protein design technology is used in biological breeding to improve key indicators such as broad-spectrum resistance, yield, and quality of crops. It can also be used to develop research and development that is safe and harmless to human health and environmentally friendly. Friendly green pesticides to ensure food safety and security.
In the field of innovative drug research and development, the "double ten law" of traditional new drug research and development is being broken. AI protein design technology is promoting the paradigm change of macromolecule innovative drug research and development, turning the traditional screening "trial and error" model into a predictable, Programmable, thereby improving R&D efficiency and success rate.
On the global issue of green and low carbon, AI protein design technology is being used as the underlying basic technology to support the transformation and upgrading of new materials, new energy and other industries, and is playing a valuable role in eliminating white pollution and improving the environment.
Xu Jinbo is well aware of the future value of AI protein design, but he also said that AI biology is an emerging field with highly interdisciplinary disciplines and deep integration of technologies. It needs continuous innovation from 0 to 1, but there is an extreme shortage of talents. To maintain and accelerate the strong development momentum in this field, there is an urgent need to cultivate high-level, integrated talents.
Author: Wang Wanyi
Editor: Zhanyue
*Wenhui exclusive manuscript, please indicate the source when reprinting.
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