2 papers
q-bio.BM2026
Multitask Bayesian Neural Networks for Multiparameter Protein Engineering
Fabio Herrera-Rocha, David Medina-Ortiz, Desiree Wyrzykala +2
Simultaneously engineering multiple protein properties remains a major challenge. Existing machine learning-based pipelines for protein engineering often model properties separatel…
q-bio.BM2025
Best Practices for Machine Learning-Assisted Protein Engineering
Fabio Herrera-Rocha, David Medina-Ortiz, Fabian Mauz +2
Data-driven modeling based on Machine Learning (ML) is becoming a central component of protein engineering workflows. This perspective presents the elements necessary to develop ef…