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Lucas Ferraz

2 papers hereh-index 324 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.BM1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.BM2026

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…

q-bio.QM2026★ 1 cited

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…

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