Synopsis of recent research by authors named "Tom Pan"
- Tom Pan's recent research focuses on leveraging deep learning techniques to enhance protein structure determination, addressing long-standing challenges in the field.
- His work introduces the "CrysFormer" model, which utilizes Patterson maps and transformer neural networks to improve the insights gained from large datasets and known protein templates.
- Pan's findings also include a proof-of-concept deep learning approach for solving the crystallographic phase problem, demonstrating the potential of convolutional neural networks in generating electron-density estimates from Patterson maps.
