1 citations · 1 across the 3 of their papers we have counts for
3 papers
Reinforcement-guided generative protein language models enable de novo design of highly diverse AAV capsids
Lucas Ferraz, Ana F. Rodrigues, Pedro Giesteira Cotovio +5
Adeno-associated viral (AAV) vectors are widely used delivery platforms in gene therapy, and the design of improved capsids is key to expanding their therapeutic potential. A centr…
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…
ECKO: Explainable Clinical Knowledge for Oncology
Marta Contreiras Silva, Daniel Faria, Laura Balbi +13
Personalized oncology aims to tailor treatment strategies to the unique molecular and clinical profiles of individual patients, moving beyond the traditional paradigm of treating t…