Check out the blog for a look at AlphaFold, a new method for protein structure prediction!
AlphaFold, which was developed by DeepMind in 2018, uses a sophisticated machine-learning algorithm to derive structural information from a protein's sequence. In the last CASP competition, it out-performed every other method for protein structure prediction! In this latest blog post, we take a look at the AlphaFold method and its impact on protein research!
And why can’t we create a date base about cached calculations, chemical reactions? For example, it will be interesting for me to see data on the chemical reaction between trillions of proteins in 0.0000001 seconds.
n fact, science is very closed, I can’t see this data because only university computers can generate it. Where is the date of the set about the interaction of trillions of atoms, not every person can get.
when people watch animated films, they don’t do calculations and cuts, but take ready-made data right away. Therefore, there must be a "certain" super scientific database of chemical reactions between atoms, and statistics.
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