“The wave caused by Alphafold’s feat has not abated” – Sciences et Avenir

Elodie Laine is a professor at the University of the Sorbonne, in the laboratory of computational and quantitative biology. His testimony, collected by Philippe Pajot, is taken from the article “Protein folding solved by an AI”, published in Sciences et Avenir – La Recherche 899, dated January 2022. It is one of the 10 discoveries of the year according to our editorial team. The DeepMind Alphafold algorithm is also honored by the journal Nature.

“How to exploit the predicted 3D models?”

“When the paper describing the AlphaFold2 system came out, in July 2021, we reviewed it with colleagues in chat sessions to talk about the architecture of the neural network and the algorithms used. These models and how to exploit the predicted 3D models? A lot The academic world has also made an effort to use Alphafold2 to predict the shape of protein assemblages (complexes). And finally, in October 2021, the DeepMind team of researchers has published a prepublication presenting the results of a new version of the neural network called AlphaFold Multimer, dedicated precisely to the prediction of these assemblies.

“Things move fast”

“The results of this article show that AlphaFold Multimer, slightly modified and mostly retrained in complexes, does better than ‘the state of the art’ and also that the attempts of the academic world that had just ‘hijacked’ AlphaFold2 for the prediction of complexes In addition, Demis Hassabis, one of the founders of DeepMind, announced last November the creation of a start-up, called Isomorphic Labs, whose stated objective is to revolutionize the process of developing new drugs (drug discovery ), thanks to the knowledge transfer from DeepMind. Things are moving fast and the wave unleashed by the arrival of Alphafold has not yet abated. “

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