Designing symmetrical multi-component proteins using a hybrid generative AI approach
D. Dessaux, S. Buchet, L. Barthe, M. Defresne, G. Cioci, S. de Givry, L. F. Garcia-Alles, T. Schiex, S. Barbe
This paper introduces a hybrid generative AI approach to design multi-component proteins by combining deep learning and automated reasoning, showing improved performance over existing methods in creating heteromeric assemblies.
bioRxiv · Jun 13, 2024 · PreprintBioengineering