4 papers
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…
Generative AI for Enzyme Design and Biocatalysis
Lasse Middendorf, Noelia Ferruz
Sparked by innovations in generative artificial intelligence (AI), the field of protein design has undergone a paradigm shift with an explosion of new models for optimizing existin…
Toward the Explainability of Protein Language Models
Andrea Hunklinger, Noelia Ferruz
Protein language models (pLMs) excel in a variety of tasks that range from structure prediction to the design of functional enzymes. However, these models operate as black boxes, a…
Guiding Generative Protein Language Models with Reinforcement Learning
Filippo Stocco, Maria Artigues-Lleixa, Andrea Hunklinger +3
Protein language models (pLMs) have demonstrated success at generating functional proteins across vast sequence spaces but lack the ability to design high-fitness variants on deman…