DeepMind avail 3D structures: Discovery of the protein structures could be counted as the biggest contribution of Artificial Intelligence in the field of life sciences which is going to help in accelerating the discovery of drugs.
The evolution in human beings is a constant process and with this the development of medical science which is available in the surroundings which is the key to understanding the genome structures. The human body consists of more than 20,000 protein genome instructions and among them, one-third of them is discovered.
Now with the help of Artificial Intelligence humans are somehow succeeded in predicting the structures of almost all human proteins which has been an issue for scientists for more than the last 4 decades.
DeepMind avail 3D structures, The Artificial Intelligence technology, AlphaFold which is developed by Google’s DeepMind has now been able to gather the database of the human protein genomic instruction and then making it available online for all the researchers without any cost.
The discovery of the structure of proteins is a challenge for scientists for decades because of their unique and confounding 3D structure which is made up of amino acids.
Proteins are very complex structures in the human body that plays a key role in the functioning of the human body and also building the blocks of cellular structures.
According to the report of the US National Library of Medicine which states that the proteins perform most of the functions of cells and it is also required for the structuring of cells, functions, and regulations in the body organs and tissues.
The protein structures are made up of amino acids which are attached in the chain-like structure and the sequence of the amino acids helps in determining their unique 3D structures.
In the year of 1958, the first protein structure was determined and after that, it has become helpful in understanding the various properties, functions, and mechanisms in the human body. DeepMind avail 3D structures, While experimental methods have been underway for understanding the complex structures with the help of developed computational method for the prediction of protein structure with the help of amino acids sequence present in the parallel.
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