Abstract P-5: Neural Network Approaches to Classify 3D Protein Structures from the Data of X-ray Laser Radiation Diffraction from Single Particles

Abstract P-5: Neural Network Approaches to Classify 3D Protein Structures from the Data of X-ray Laser Radiation Diffraction from Single Particles

Background: Protein structure determination using X-ray free-electron laser (XFEL) includes analysis and merging a large number of snapshot diffraction patterns. Convolutional neural networks are widely used to solve numerous computer vision problems, e.g. image classification, and can be used for...

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Bibliographic Details
Main Authors: Valery Novoseletsky, Mikhail Lozhnikov, Grigoriy Armeev, Aleksandr Kudriavtsev, Alexey Shaytan, Georgiy Kobelkov, Konstantin Shaitan
Format: Article
Language:English
Published: International Medical Research and Development Corporation 2021-06-01
Series:International Journal of Biomedicine
Subjects:
x-ray crystallography
diffraction pattern
protein structure
neural networks
Online Access:http://ijbm.org/articles/v11s1/ijbm_2021_11_1s_p5.pdf

Internet

http://ijbm.org/articles/v11s1/ijbm_2021_11_1s_p5.pdf

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