AlphaFold : a solution to a 50-year-old grand challenge in biology | DeepMind
▻https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
Cette année #deepmind vient d’exploser le concours #CASP, en portant son score à près de 90/100 ; ce qui était une sorte de graal de la biologie (la prédiction de structures 3D des protéines) est un problème quasiment résolu.
In the results from the 14th CASP assessment, released today, our latest AlphaFold system achieves a median score of 92.4 GDT overall across all targets. This means that our predictions have an average error (RMSD) of approximately 1.6 Angstroms, which is comparable to the width of an atom (or 0.1 of a nanometer). Even for the very hardest protein targets, those in the most challenging free-modelling category, AlphaFold achieves a median score of 87.0 GDT (data available here).
