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Survey of the analysis of continuous conformational variability of biological macromolecules by electron microscopy
Author(s) -
Sorzano C. O. S.,
Jiménez A.,
Mota J.,
Vilas J. L.,
Maluenda D.,
Martínez M.,
Ramírez-Aportela E.,
Majtner T.,
Segura J.,
Sánchez-García R.,
Rancel Y.,
del Caño L.,
Conesa P.,
Melero R.,
Jonic S.,
Vargas J.,
Cazals F.,
Freyberg Z.,
Krieger J.,
Bahar I.,
Marabini R.,
Carazo J. M.
Publication year - 2019
Publication title -
acta crystallographica section f
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 37
ISSN - 2053-230X
DOI - 10.1107/s2053230x18015108
Subject(s) - macromolecule , electron microscope , resolution (logic) , single particle analysis , microscopy , low resolution , biophysics , materials science , nanotechnology , biological system , chemistry , chemical physics , high resolution , computer science , physics , biology , optics , biochemistry , artificial intelligence , remote sensing , aerosol , organic chemistry , geology
Single‐particle analysis by electron microscopy is a well established technique for analyzing the three‐dimensional structures of biological macromolecules. Besides its ability to produce high‐resolution structures, it also provides insights into the dynamic behavior of the structures by elucidating their conformational variability. Here, the different image‐processing methods currently available to study continuous conformational changes are reviewed.