Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
A. Di Gioacchino, J. Procyk, M. Molari, J. S. Schreck, Y. Zhou, Y. Liu, R. Monasson, S. Cocco, P. Sulc
This study uses Restricted Boltzmann Machines to analyze SELEX data for thrombin aptamers, enabling sequence fitness estimation, classification, and novel molecule generation, which is validated experimentally.
bioRxiv · Mar 12, 2022Biophysics