4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Why risk matters for protein binder design
Tudor-Stefan Cotet, Igor Krawczuk
Bayesian optimization (BO) has recently become more prevalent in protein engineering applications and hence has become a fruitful target of benchmarks. However, current BO comparis…
q-bio.QM2024★ 4 cited
Learning immune receptor representations with protein language models
Andreas Dounas, Tudor-Stefan Cotet, Alexander Yermanos
Protein language models (PLMs) learn contextual representations from protein sequences and are profoundly impacting various scientific disciplines spanning protein design, drug dis…