Computational “Hive Mind” Helps Scientists Solve an Enzyme’s

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Computational “Hive Mind” Helps Scientists Solve an Enzyme’s

Postby JimF » Sun Jun 23, 2019 5:38 pm

Now, for the first time, scientists at the Sloan Kettering Institute have used sophisticated chemical techniques and powerful machine-learning algorithms to piece together the complete movements of an enzyme called a methyltransferase.

The breakthrough is the result of a collaboration between scientists in the chemical biology lab of Minkui Luo and the computational and systems biology lab of John Chodera — with invaluable assistance from a worldwide network of citizen scientists running software on their computers. The results, which were published on May 13, 2019, in the journal eLife, will be of broad interest in the field of chemical biology and to scientists interested in drug design.

https://www.mskcc.org/blog/computational-hive-mind-helps-scientists-solve-enzyme-s-cryptic-movements

This was cited over at Rosetta, but applies here at least as much.

(It was also announced here: https://foldingathome.org/2019/05/13/the-dynamic-conformational-landscape-of-the-protein-methyltransferase-setd8/)
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Re: Computational “Hive Mind” Helps Scientists Solve an Enzy

Postby Joe_H » Sun Jun 23, 2019 6:15 pm

Also mentioned here in the Beta team sub-forum - viewtopic.php?f=66&t=31445&p=307562#p307562.
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