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Title: Isoprenoid-chained lipid EROCOC17+4: a new matrix for membrane protein crystallization and a crystal delivery medium in serial femtosecond crystallography

Abstract

Please check the README file for more information about the dataset.

Authors:
;
  1. CXIDB
Publication Date:
Other Number(s):
CXIDB ID 140
DOE Contract Number:  
AC02-05CH11231
Research Org.:
Coherent X-ray Imaging Data Bank (Lawrence Berkeley National Laboratory); Kyoto University, University of Tokyo, The University of Pittsburgh, University of Tsukuba, RIKEN SPring-8 Center, The University of Texas Southwestern Medical Center
Sponsoring Org.:
Kyoto University, University of Tokyo, The University of Pittsburgh, University of Tsukuba, RIKEN SPring-8 Center, The University of Texas Southwestern Medical Center
Subject:
A2a receptor; BL3; SACLA; Serial Femtosecond Crystallography; X-ray Free-electorn Lasers; XFEL
OSTI Identifier:
1712660
DOI:
https://doi.org/10.11577/1712660

Citation Formats

Ihara, K, and Hato, M. Isoprenoid-chained lipid EROCOC17+4: a new matrix for membrane protein crystallization and a crystal delivery medium in serial femtosecond crystallography. United States: N. p., 2020. Web. doi:10.11577/1712660.
Ihara, K, & Hato, M. Isoprenoid-chained lipid EROCOC17+4: a new matrix for membrane protein crystallization and a crystal delivery medium in serial femtosecond crystallography. United States. doi:https://doi.org/10.11577/1712660
Ihara, K, and Hato, M. 2020. "Isoprenoid-chained lipid EROCOC17+4: a new matrix for membrane protein crystallization and a crystal delivery medium in serial femtosecond crystallography". United States. doi:https://doi.org/10.11577/1712660. https://www.osti.gov/servlets/purl/1712660. Pub date:Fri Nov 13 04:00:00 UTC 2020
@article{osti_1712660,
title = {Isoprenoid-chained lipid EROCOC17+4: a new matrix for membrane protein crystallization and a crystal delivery medium in serial femtosecond crystallography},
author = {Ihara, K and Hato, M},
abstractNote = {Please check the README file for more information about the dataset.},
doi = {10.11577/1712660},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Nov 13 04:00:00 UTC 2020},
month = {Fri Nov 13 04:00:00 UTC 2020}
}