Scientists have revealed that artificial intelligence may be hope in cancer studies. 32 different potential cancer drugs were synthesized with artificial intelligence.
One of the things to understand about cancer treatment is that each case of cancer actually develops to some extent. is that it is original. Even if the mutations that cause cancer and the regions where these mutations occur are known, differences in people’s genetic structures can cause them to react differently to each drug. A new study offers hope to patients in this respect.
A new development developed by scientists artificial intelligence algorithmhas been successful in creating complex chemical models from the early stages of drug development. Artificial intelligence can optimize this process, which requires thousands of experiments under normal conditions.
32 potential drugs developed
The most important feature of the drugs developed using the artificial intelligence algorithm called POLYGON is molecules with multiple targets It is shown as being able to recognize. In other words, these drugs have the potential to simultaneously destroy cancerous structures that have emerged or metastasized in different places.
Lead author of the study Trey Idekerregarding the issue “It takes many years and millions of dollars to find and develop a new drug, especially if we are talking about a drug with more than one target. The few rare multi-target drugs we have were discovered largely by chance, but this new technology take coincidences out of the equation to take off and could help usher in the next generation of precision medicine.” He uses the expressions.
Billions of bioactive molecules chemical properties and trained with data about their interactions with target proteins, AI can thus produce original chemical formulas. For this, it is sufficient to just say how the interaction will be.
As a result of this study, POLYGONMEK1 and mTOR managed to find 32 cancer drugs that showed excellent interaction with cellular signaling proteins. If both structures are suppressed, cancer cells die. It seems that artificial intelligence is preparing for a revolution in this field as well.
Research Nature CommunicationsIt was published in .
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Source :
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