Amen. On Thu, Nov 3, 2022 at 5:19 AM Frank von Delft <frank.vonde...@cmd.ox.ac.uk> wrote:
> Great, now we have two random number generators. > > > On 03/11/2022 12:10, David J. Schuller wrote: > > https://www.biorxiv.org/content/10.1101/2022.07.20.500902v2 > > Evolutionary-scale prediction of atomic level protein structure with a > language model > <https://www.biorxiv.org/content/10.1101/2022.07.20.500902v2> > doi: https://doi.org/10.1101/2022.07.20.500902 > > Abstract > > Artificial intelligence has the potential to open insight into the > structure of proteins at the scale of evolution. It has only recently been > possible to extend protein structure prediction to two hundred million > cataloged proteins. Characterizing the structures of the exponentially > growing billions of protein sequences revealed by large scale gene > sequencing experiments would necessitate a breakthrough in the speed of > folding. Here we show that direct inference of structure from primary > sequence using a large language model enables an order of magnitude > speed-up in high resolution structure prediction. Leveraging the insight > that language models learn evolutionary patterns across millions of > sequences, we train models up to 15B parameters, the largest language model > of proteins to date. As the language models are scaled they learn > information that enables prediction of the three-dimensional structure of a > protein at the resolution of individual atoms. This results in prediction > that is up to 60x faster than state-of-the-art while maintaining resolution > and accuracy. Building on this, we present the ESM Metagenomic Atlas. This > is the first large-scale structural characterization of metagenomic > proteins, with more than 617 million structures. The atlas reveals more > than 225 million high confidence predictions, including millions whose > structures are novel in comparison with experimentally determined > structures, giving an unprecedented view into the vast breadth and > diversity of the structures of some of the least understood proteins on > earth. > Competing Interest Statement > > The authors have declared no competing interest. > > > ======================================================================= > All Things Serve the Beam > ======================================================================= > David J. Schuller > modern man in a post-modern world > MacCHESS, Cornell University > schul...@cornell.edu > > ------------------------------ > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 > > ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
