From the source
Since its release in 2020, AlphaFold has revolutionised how proteins and their interactions are understood.
Isomorphic Labs and Google DeepMind have been working together to build the foundations of a more powerful AI model that expands coverage beyond just proteins to the full range of biologically-relevant molecules.
Today we’re sharing an update on progress towards the next generation of AlphaFold.
Our latest model can now generate predictions for nearly all molecules in the Protein Data Bank (PDB), frequently reaching atomic accuracy.
It unlocks new understanding and significantly improves accuracy in multiple key biomolecule classes, including ligands (small molecules), proteins, nucleic acids (DNA and RNA), and those containing post-translational modifications (PTMs).
These different structure types and complexes are essential for understanding the biological mechanisms within the cell, and have been challenging to predict with high accuracy.
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