It won’t be long for artificial intelligence can handle drug discovery for pharmaceutical companies without human scientists.
Scientists at Eli Lilly have been surprised by novel design of molecules that AI has produced as part of hypothetical drug discovery research.
Lilly has been using generative AI to search through millions of molecules. With AI able to move at a speed of discovery which in five minutes can generate as many molecules as Lilly could synthesize in an entire year in traditional wet labs, it make sense to test the limits of artificial intelligence in medicine. But there's no way to know if the abundance of AI-generated designs will work in the real world, and that's something skeptical company executives wanted to learn more about.
How to win ‘The Price is Right'—don't make this ‘egregious' mistake, says Yale-trained game theory expert An analogy for understanding the development of AI drugs can be found in the mechanisms of ChatGPT."It's essentially been trained on every book, every webpage, every PDF document, and it's encoded the knowledge of the world in such a way that you can ask it questions and it can generate you answers," Powell said.
"The progress of drug discovery, we predict, should massively go up," Powell said. Some of the noted flaws of generative AI, its propensity to"hallucinate" for example, could prove to be powerful in drug discovery."Over the last many decades, we have kind of been looking at the same targets, but what if we can use the generative approach to open up new targets?" she added.Protein discovery is an example.
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