Search For Disease Genes Is Sped Up By Google Deepmind Ai

AI firm DeepMind at Google has used artificial intelligence to identify possible disease-causing changes in human DNA.

Researchers believe they have identified 89% of all key mutations. The development is expected to speed up diagnosis and help in the search for better treatments. A leading independent scientist told BBC News that the work was “a big step forward”.

Professor Ewan Birney, deputy director general of the European Molecular Biology Laboratory, said: "It will help clinical researchers prioritize where to search for disease-causing areas."

Human DNA strands are analyzed by checking the order of their components.

All living organisms are built from DNA. It is made from four blocks of chemicals called adenine (A), cytosine (C), guanine (G) and thymine (T). In humans, when an embryo is developing, the order of these letters are read to produce proteins, which are the building blocks of the the cells and tissues that make up various parts of the body.

But if the letters are in the wrong order – perhaps because of an inherited disorder – the body cells and tissues aren’t made properly and this can lead to disease.

Last year Google DeepMind’s AI worked out the shape of nearly all proteins in the human body. The new system, called  AlphaMissense, can tell If the letters in the DNA will produce the correct shape. It is listed as potentially disease-causing if it does not.

 

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