A group of researchers is taking Nature to task for publishing a paper earlier this month about Google DeepMind’s protein folding prediction program without requiring the authors publish the code behind the work.
Roland Dunbrack, of Fox Chase Cancer Center in Philadelphia, peer-reviewed the paper but was “not given access to code during the review,” the authors of a letter submitted today, May 14, to Nature – including Dunbrack – write, “despite repeated requests.”
A Nature podcast said AlphaFold3 – unlike AlphaFold2 – “can accurately predict protein-molecule complexes containing DNA, RNA and more. Although the new version is restricted to non-commercial use, researchers are excited by its greater range of predictive abilities and the prospect of speedier drug discovery.”
Continue reading Nature earns ire over lack of code availability for Google DeepMind protein folding paper