A new era of biological research has been unlocked, with an artificial intelligence (AI) predicting the 3D shape of nearly every protein known to science – just one year after its first data release.
"In the past year alone, there have been over a thousand scientific articles on a broad range of research topics which use AlphaFold structures; I have never seen anything like it.."Imagine the impact of having over 200 million protein structure predictions openly accessible in the AlphaFold database."
Although the open-source AlphaFold software has been available to researchers since its release last year, having millions of predicted protein structures at their fingertips in a searchable database will undoubtedly expedite research. According to EMBL-EBI, around one-third of the more than 214 million predictions have been classed as highly accurate, on par with protein structures derived from the usual experimental methods, such as X-ray crystallography and cryo-electron microscopy.
For decades scientists have painstakingly inferred molecular structures from the fuzzy pictures these methods produce – perhaps the most famous being
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