Researchers at the Massachusetts Institute of Technology and Harvard University have developed a machine learning algorithm that predicts the outcome of genome editing with high accuracy using CRISPR-Cas9 technology. This is Written by Science Daily.
The CRISPR / Cas9 technology is a "molecular shears" that allow you to cut and change the DNA segments of any organism directly in living cells. Now the genome edition is tested as a therapy for various diseases caused by mutations.
However, the human genome is a natural mechanism of autocorrection – it "stabs" the double helix of DNA, if it is somehow damaged – also by using CRISPR / Cas9. The results of such a repair are not always successful: just as an automatic change in a smartphone can correct an unknown word to the wrong one, the genome editor can also add the wrong piece of DNA at the breakpoint. Because of this side effect, the CRISPR / Cas9 technology, despite all its perspectives, is still a too dangerous method of therapy.
Now, scientists have created a machine learning algorithm that predicts how human and mouse cells will respond to CRISPR / Cas9-induced DNA cracks. They successfully correct mutations in cells taken from patients with rare genetic genetic disorders.
Earlier it was reported that scientists have decrypted the wheat genome. This will create more productive variations.