https://news.stanford.edu/2018/06/25/ai-recreates-chemistrys-periodic-table-elements/
“Zhang hopes that in the future, scientists can harness Atom2Vec’s knowledge to discover and design new materials. “For this project, the AI program was unsupervised, but you could imagine giving it a goal and directing it to find, for example, a material that is highly efficient at converting sunlight to energy,” Zhang said.
His team is already at work on version 2.0 of their AI program, which will focus on cracking an intractable problem in medical research: designing just the right antibody to attack antigens – molecules capable of inducing an immune response – that are specific to cancer cells. Currently, one of the most promising approaches to curing cancer is cancer immunotherapy, which involves harnessing the antibodies that can attack antigens on cancer cells.
But the human body can produce more than 10 million unique antibodies, each of which is made up of a different combination of about 50 genes. “If we can map these building block genes onto a mathematical vector, then we can organize all antibodies into something similar to a periodic table,” Zhang says. “Then, if you discover that one antibody is effective against an antigen but is toxic, you can look ”
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