2 papers
q-bio.BM2025
Steering Generative Models for Protein Design: Aligning and Conditioning Strategies
Filippo Stocco, Michele Garibbo, Noelia Ferruz
Generative artificial intelligence models learn probability distributions from data and produce novel samples that capture the salient properties of their training sets. Proteins a…
q-bio.BM2024
Reinforcement Learning Guides Generative Protein Language Models
Filippo Stocco, Maria Artigues-Lleixa, Andrea Hunklinger +4
Protein engineering can optimize molecules for biotechnology and therapeutics, but navigating the high-dimensional sequence landscape remains challenging. Protein language models (…