A research team in the UK has developed a new artificial intelligence (AI) computer model that can predict the emergence of new designer drugs based on the structural features of molecules, reports News Medical Life Sciences.

The model could become an important tool in the fight against drug trafficking and in the development of effective methods for their detection.

The model uses machine learning algorithms to analyze the chemical structure of molecules and predict their potential activity. It is trained on a large database of known drugs and their structural characteristics. Based on these data, the model can identify patterns, and predict which new molecules may have a narcotic effect.

One of the main advantages of this model is its ability to predict not only already known drugs, but also potential new substances that have not yet been synthesized. This makes it possible to identify risks in advance, and develop measures to prevent their spread.

In addition, this model can be used to develop new methods of diagnosing and treating drug addiction. Understanding the structure of molecules and their interaction with the organism can help create more effective drugs for curing addiction.

In the future, researchers plan to expand this model's database to include information about new substances and their properties. This will enable to improve the accuracy of predictions, and make this model a more effective tool in the fight against the drug threat.