A deep learning solution for crystallographic structure determination
The general de novo solution of the crystallographic phase problem is difficult and only possible under certain conditions. This paper develops an initial pathway to a deep learning neural network approach for the phase problem in protein crystallography, based on a synthetic dataset of small fragme...
Main Authors: | Tom Pan, Shikai Jin, Mitchell D. Miller, Anastasios Kyrillidis, George N. Phillips Jr |
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Format: | Article |
Language: | English |
Published: |
International Union of Crystallography
2023-07-01
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Series: | IUCrJ |
Subjects: | |
Online Access: | http://scripts.iucr.org/cgi-bin/paper?S2052252523004293 |
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