Article
The generative capacity of probabilistic protein sequence models.
Nature communications - 2 Nov 2021
McGee Francisco, Hauri Sandro, Novinger Quentin, Vucetic Slobodan, Levy Ronald M, Carnevale Vincenzo, Haldane Allan
Abstract excerpt
Potts models and variational autoencoders (VAEs) have recently gained popularity as generative protein sequence models (GPSMs) to explore fitness landscapes and predict mutation effects. Despite encouraging results, current model evaluation metrics leave unclear whether GPSMs faithfully reproduce the complex multi-residue mutational patterns observed in natural sequences due to epistasis. Here, we develop a set...
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