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Machine learning boosts the drug design.

   Machine learning boosts the drug design. 


"Cambridge researchers, in collaboration with Pfizer, have created an AI-driven ‘reactome’ platform to predict chemical reactions, expediting drug design. This innovative approach utilizes machine learning and automated experiments, significantly improving the accuracy and speed of pharmaceutical development. Credit: SciTechDaily.com" (ScitechDaily, AI-Powered Drug Design: A Leap in Pharmaceutical Innovation)



Researchers created an AI-based system that they can use for drug design. That system can control complicated structures and how to make those structures work right. When a drug designer starts work that person selects the point where that drug wants to effect. The drug can affect cell's genomes, it can affect ion pumps or lipids that form the cell's shell. 

The problem with drug design is that the complicated molecules require a fully controlled environment. This is the new thing in AI and how to benefit that thing. The AI is the language model that controls multiple subsystems. Those subsystems control the reaction chambers and many other things. Quantum computers and other new, and powerful calculation methods can use to simulate those new complicated molecule's behavior in cells. 

The nanomachines are similar to the drug molecules. There is a vision about nanomachines that can act as medicines. Some of them are like viruses. They are heading to the wanted cell group. And then those nanomachines pump protein fibers and enzymes to the targeted cell. Those things can destroy its cell organelles or DNA or simply fill the cell with protein fibers. Or the synthetic retrovirus transports artificial DNA into the targeted cells, and that DNA can cause the cell to die. That kind of thing can be the future of medicine. 

The problem is that there is a silent pandemic in the world. Silent pandemia is an antibiotic-resistant bacteria. Antibiotic-resistant bacteria is a bigger problem than any COVID-19 can ever be. 

Researchers testing nanomachines and nanopolymers against those bacteria. The nanopolymers are like springs that open inside the cell and destroy its shell. Another way that nanopolymers can act is that they will connect themselves to the cell's outer shell. Then those long polymer fiibers just pull electricity out from the cell's bark. That finishes the ion pump's action. 

The nanomachines can destroy the cell organelles when they slip into the cell. The difference between nanomachines and nanopolymers to traditional medicines is that their action is mechanical. Complicated systems require complicated and highly advanced control systems. The design and development of complicated molecules are very accurate work. And the most dangerous case is that nanomachines can get out of control. That thing can turn entire humans into liquid when nanomachines break the cell barks. 


https://scitechdaily.com/ai-powered-drug-design-a-leap-in-pharmaceutical-innovation/

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