Fig. 1From: Searching for protein variants with desired properties using deep generative modelsThe workflow using a deep generative model. First, data is obtained from the database. After preliminary processing, the sequences are aligned by multiple sequence alignments. Next, they are fed into the deep generative model for training, generating the new sequences we need by sampling. The generated sequences should be as similar as possible to the training dataBack to article page