{"id":34136,"date":"2018-08-05T14:59:22","date_gmt":"2018-08-05T18:59:22","guid":{"rendered":"https:\/\/sciencebusiness.technewslit.com\/?p=34136"},"modified":"2018-08-06T12:33:26","modified_gmt":"2018-08-06T16:33:26","slug":"in-case-you-missed-it-2","status":"publish","type":"post","link":"https:\/\/technewslit.com\/sciencebusiness\/?p=34136","title":{"rendered":"In Case You Missed It …"},"content":{"rendered":"
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(tigerlily713, Pixabay)<\/figcaption><\/figure>\n

5 August 2018. If you want a preview of the impact artificial intelligence can make on our life and work, read our story this past week about a project at University of North Carolina in Chapel Hill. A bioinformatics team at the school’s pharmacy school developed a system combining machine learning and neural networks with large-scale databases to design entirely new drug molecules<\/a> that meet targeted chemical properties and biological activity.<\/p>\n

In this case, the system known as Reinforcement Learning for Structural Evolution or Release, uses reinforcement learning in a two-stage process to design drug molecules from scratch. The system seeks to harness the power of artificial intelligence to speed the design of new and more complex therapies. As a proof-of-concept, the UNC team applied the Release system to design inhibitors of a protein called\u00a0Janus kinase 2, or JAK2, from a gene that codes for stimulating growth and proliferation of cells.<\/p>\n

Here are other stories we covered last week:<\/p>\n