Exploring the limits of pre-trained embeddings in machine-guided protein design: a case study on predicting AAV vector viability

Ana F. Rodrigues, Lucas Ferraz, Laura Balbi +2

Effective representations of protein sequences are widely recognized as a cornerstone of machine learning-based protein design. Yet, protein bioengineering poses unique challenges…