In particular, it can predict protein complexes with other proteins, nucleic acids, small molecules, ions and modified protein residues, as well as antibody-antigen interactions.
The latest development of the AlphaFold artificial intelligence model, which has revolutionized the prediction of the three-dimensional structure of proteins, is presented in a publication in the journal Nature.
According to the publication, AlphaFold 3, developed by Google DeepMind and Isomorphic Labs, has the ability to produce highly accurate predictions of the three-dimensional structure of proteins relative to previous tools and of the structure of a wide range of biomolecules.
In particular, it can predict protein complexes with other proteins, nucleic acids, small molecules, ions and modified protein residues, as well as antibody-antigen interactions.
As noted, for interactions of proteins with other types of molecules there is at least a 50% improvement compared to existing prediction methods, and for some important interaction classes the prediction accuracy has doubled.
The researchers note that the ability to computationally determine complex interactions between proteins and other molecules will expand our understanding of biological processes and could facilitate drug development.
In fact, to leverage AlphaFold 3’s potential in drug design, Isomorphic Labs is already working with pharmaceutical companies to apply it to real-world challenges and ultimately develop new treatments for serious diseases plaguing humanity.
The capabilities of this new AI system are freely available to researchers through the AlphaFold Server platform.
Source :Skai
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