8 citations · 10 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
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 (…