Abstract: The invention relates to a method for generating protein sequences in an autoregressive neural network comprising an encoder and a decoder, the decoder comprising an autoregressive module, the method comprising: obtaining a latent code and inputting the latent code into the autoregressive module; obtaining probabilities from the autoregressive module, the obtained probabilities representing probabilities for amino acids to be selected at locations of the sequence; and generating an ordered sequence of amino acids from the obtained probabilities, wherein the autoregressive module is such that, for a location of the sequence, the probabilities associated with amino acids to be selected for the location in the sequence are determined as a function of probabilities of amino acids to be selected for previous locations in the sequence and wherein the autoregressive neural network has been trained end-to-end with the encoder, the encoder making it possible to encode protein sequences in a latent space as late