Interpretable and explainable predictive machine learning models for data-driven protein engineering
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad, Mehdi D. Davari
This paper explores integrating explainable AI techniques into machine learning models for predicting protein properties, demonstrating their effectiveness in identifying DNA binding proteins and optimizing Green Fluorescent Protein brightness.
Biotechnology Advances · Dec 5, 2024Peer-reviewedBioinformatics