Artificial intelligence is helping researchers comb through thousands of old and new research papers in the hope that it will lead to new treatments and vaccines. However, the task is obviously difficult because humans have never successfully created a vaccine against any coronavirus-related disease in the past.
The key is to understand the pathogen's protein structure and how its proteins react in different environments. Google's AlphaFold and other similar artificial intelligence systems have come in handy in assisting researchers list of australia whatsapp phone numbers around the world in deconstructing coronavirus proteins.
"Experts must master the 3D structure of the protein in order to design corresponding drugs to inhibit the function of the structure." Sun Min said, "As long as the 3D shape of the virus can be understood, artificial intelligence can be used to simulate it to screen out potential treatments for the disease. Compound molecules. IBM has used its supercomputer Summit to select 77 compounds that are promising for clinical trials.”
In the past, the process of studying protein structures was laborious and time-consuming; however, artificial intelligence can now be used to build 3D protein structures and perform virtual experiments much faster than traditional laboratory methods. Sun Min explained that the key to epidemic prevention is speed. The new coronavirus is made of RNA, which is less stable than DNA and therefore more prone to mutations. Researchers have now discovered eight different strains of the new coronavirus through genetic sequencing . Artificial intelligence can help experts track and predict virus mutation trends, which is crucial to curing the disease and even eventually developing a vaccine.
In developing treatment options
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