Paper Summary

Advancement in the field of genome sequencing has seen an increase in the amount of sequence data. In spite of that knowledge regarding the properties of protein still needs to be interpreted. Machine learning methods, particularly deep learning methods, are used to train language models to predict protein properties. A recent addition to the existing…

Due to the absence of adequate theoretical models and the enormous protein sequence space, the data-driven design of proteins with particular functions is difficult. The Protein Transformer Variational AutoEncoder (ProT-VAE) is a novel deep generative model for protein engineering that combines the capabilities of variational autoencoders and transformers to provide an accurate, quick, and transferrable…