The protein folding puzzle that has puzzled scientists for nearly 50 years
Protein is the material basis of life and an important component of all cells and tissues of the human body. Whether it is muscle contraction, eye sensitivity, or digestion of food, human life activities require the participation of protein all the time.
The reason why proteins are rich in functions is largely due to their unique spatial structure. It can be said that if we want to understand more about people, we need to decipher the complex structure of each protein. However, long chains of amino acids in proteins are twisted, folded and interwoven into complex three-dimensional structures, setting up layers of barriers for structural deciphering.
AI empowers protein computing
With the advancement of the technological revolution and the wave of industrial transformation, the trend of artificial intelligence empowering scientific research is unstoppable, and protein science bears the brunt. The use of AI to subvert protein structure prediction has enabled molecular biologists to change from protein amino acid sequence-based research to protein function analysis with predicted structures, affecting the entire biological science research paradigm.
The most typical is the well-known AlphaFold. DeepMind announced that for the first time, a computational method has been discovered to predict the structure of a protein. AI can accurately predict the structure of proteins at the atomic level, even without knowing similar structures, making the impossible possible.
DeepMind said that AlphaFold can periodically predict protein structures with atomic precision, using multiple sequence alignment and deep learning algorithm design, combined with physical and biological knowledge about protein structures to improve predictions. Its breakthrough research results are widely used in all branches of life sciences, which is a subversive breakthrough in the field of structural biology.
AI model + Dawning computing service, protein function prediction and design can be expected in the future
From an extended point of view, it is not only the transformation of protein structure prediction, but AI still has a lot of potential to be tapped for the entire scientific research field, such as AI + mathematics, AI + chemistry, AI + medicine, etc. These applications will help researchers explore and trigger certain The mechanism of disease, and pave the way for the design of drugs, crop yield increase research and development.
As a computing power service provider in the era of intelligent computing, Dawning Intelligent Computing has continued to cultivate in the fields of “AI+Science”, and has accumulated a lot of cutting-edge practical experience, realizing the rapid deployment of the development environment. For the development process, the computing resources are divided and distributed according to the training tasks, and additional functions such as container image management, permission management, and interactive interface graphics are supported to help users get involved in the field of artificial intelligence more quickly, focusing on the optimization and iteration of actual algorithms , to promote the rapid implementation of artificial intelligence technology.