2 papers
cs.LG2025
Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking
Shikha Surana, Nathan Grinsztajn, Timothy Atkinson +2
Machine learning methods can automate the in silico design of biological sequences, aiming to reduce costs and accelerate medical research. Given the limited access to wet labs, in…
q-bio.QM2025
Learning the Language of Protein Structure
Benoit Gaujac, Jérémie DonÃ, Liviu Copoiu +3
Representation learning and \emph{de novo} generation of proteins are pivotal computational biology tasks. Whilst natural language processing (NLP) techniques have proven highly ef…