Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

The study of the structures of the biomacromolecules in solution with correlated X-ray scattering

Authors
Shengjun Liu
Corresponding Author
Shengjun Liu
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.148How to use a DOI?
Keywords
The correlated X-ray scattering (CXS); filtering; clusters; correlation.
Abstract

The correlated X-ray scattering (CXS) was introduced and compared with other methods which were used to study the structures of the biomacromolecules in solution, such as nuclear magnetic resonance (NMR), electron microscope (EM) and small-angle x-ray scattering (SAXS). Then a key step which was used to filter the scattering data was put forwarded. And some important clusters were obtained with density based scanning method. Finally, the clusters will lay a good foundation in computing the correlation in future.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.148How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shengjun Liu
PY  - 2017/01
DA  - 2017/01
TI  - The study of the structures of the biomacromolecules in solution with correlated X-ray scattering
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 795
EP  - 799
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.148
DO  - 10.2991/icmmita-16.2016.148
ID  - Liu2017/01
ER  -