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Volumetric Filtering, Modeling and Visualization for Nano‐Medicine
Author(s) -
Bajaj Chandrajit
Publication year - 2003
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/1467-8659.00666
Subject(s) - visualization , computer science , macromolecular substances , tomographic reconstruction , macromolecule , biological system , chemistry , artificial intelligence , biology , iterative reconstruction , biochemistry
Abstract The 3D structures of individual proteins or small complexes, such as most of the Protein Data Bank entries, are still unable to yield the ''full picture'' of a functional biological complex. The study of large macromolecular complexes, such as viruses, ion channels, the ribosome and other macromolecular machines of various types, offer more complete structural and functional description of the nano‐machinery of life.In addition to x‐ray crystallography. NMR spectroscopy, electron cryomicroscopy (cryoEM) imaging of single particles, and in‐vivo molecular tomographic imaging has become indispensable at revealing the structures of large macromolecular complexes at subnanometer resolutions.In this talk, I shall describe some of the recent computational advances in filtering, modeling, analysis and visualization, that have propelled structure determination by cryoEM and tomographic imaging, to steadily increasing accuracy.